+Άρθρο 5 Απαγορευμένες πρακτικές ΤΝ
---+Άρθρο 5 1.
---+Article 5 1a.
---+Article 5 1b.
---+Άρθρο 5 2.
---+Άρθρο 5 3.
---+Άρθρο 5 4.
---+Άρθρο 5 5.
---+Άρθρο 5 6.
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Άρθρο 5 Απαγορευμένες πρακτικές ΤΝ

1. Επισκόπηση

,
Τίτλος Κανονισμός
Άρθρο 5 1.

Απαγορεύονται οι ακόλουθες πρακτικές ΤΝ:

α) 

η διάθεση στην αγορά, η θέση σε λειτουργία ή η χρήση συστήματος ΤΝ που εφαρμόζει τεχνικές οι οποίες απευθύνονται στο υποσυνείδητο ενός προσώπου υπερκεράζοντας το συνειδητό του ή σκόπιμα χειριστικές ή παραπλανητικές τεχνικές, με σκοπό ή με αποτέλεσμα να στρεβλώσει ουσιωδώς τη συμπεριφορά ενός προσώπου ή μιας ομάδας προσώπων υποβαθμίζοντας σημαντικά την ικανότητά τους να λάβουν τεκμηριωμένη απόφαση, με επακόλουθο να λάβουν μια απόφαση που διαφορετικά δεν θα είχαν λάβει κατά τρόπο που προκαλεί ή εύλογα ενδέχεται να προκαλέσει στο εν λόγω πρόσωπο, σε άλλο πρόσωπο ή σε ομάδα προσώπων σημαντική βλάβη·

β) 

η διάθεση στην αγορά, η θέση σε λειτουργία ή η χρήση συστήματος ΤΝ που εκμεταλλεύεται οποιοδήποτε από τα τρωτά σημεία ενός φυσικού προσώπου ή μιας συγκεκριμένης ομάδας προσώπων λόγω της ηλικίας τους, της αναπηρίας τους ή συγκεκριμένης κοινωνικής ή οικονομικής τους κατάστασης, με σκοπό ή με αποτέλεσμα να στρεβλώσει ουσιωδώς τη συμπεριφορά του εν λόγω προσώπου ή προσώπου που ανήκει στην εν λόγω ομάδα κατά τρόπο που προκαλεί ή εύλογα ενδέχεται να προκαλέσει στο εν λόγω πρόσωπο ή σε άλλο πρόσωπο σημαντική βλάβη·

▼M1

βα) 

η διάθεση στην αγορά, η θέση σε λειτουργία ή η χρήση συστήματος ΤΝ που παράγει ή χειρίζεται ρεαλιστικές εικόνες, βίντεο, ήχο ή παρόμοιο υλικό των απόκρυφων μερών ταυτοποιήσιμου φυσικού προσώπου ή ταυτοποιήσιμου φυσικού προσώπου που επιδίδεται σε δραστηριότητες σαφούς σεξουαλικού χαρακτήρα, χωρίς την ελεύθερη, συγκεκριμένη, εν πλήρη επιγνώσει, αδιαμφισβήτητη και ρητή συγκατάθεση του εν λόγω προσώπου για την εν λόγω παραγωγή ή ο εν λόγω χειρισμός·

ββ) 

η διάθεση στην αγορά, η θέση σε λειτουργία ή η χρήση συστήματος ΤΝ που παράγει ή χειρίζεται υλικό ή παραστάσεις κατά την έννοια του άρθρου 2 στοιχεία γ) και ε) της οδηγίας 2011/93/ΕΕ, εκτός εάν, βάσει του εθνικού δικαίου, εφαρμόζεται άμυνα «χωρίς δικαίωμα»·

▼B

γ) 

η διάθεση στην αγορά, η θέση σε λειτουργία ή η χρήση συστημάτων ΤΝ για την αξιολόγηση ή την ταξινόμηση φυσικών προσώπων ή ομάδων προσώπων για ορισμένο χρονικό διάστημα με βάση την κοινωνική τους συμπεριφορά ή γνωστά, συναγόμενα ή προβλεπόμενα προσωπικά χαρακτηριστικά τους ή χαρακτηριστικά της προσωπικότητάς τους, με κοινωνική βαθμολογία η οποία οδηγεί σε ένα ή σε αμφότερα από τα ακόλουθα:

i) 

επιζήμια ή δυσμενή μεταχείριση ορισμένων φυσικών προσώπων ή ομάδων προσώπων σε κοινωνικά πλαίσια τα οποία δεν σχετίζονται με το πλαίσιο στο οποίο παρήχθησαν ή συλλέχθηκαν αρχικά τα δεδομένα·

ii) 

επιζήμια ή δυσμενή μεταχείριση ορισμένων φυσικών προσώπων ή ομάδων προσώπων η οποία είναι αδικαιολόγητη ή δυσανάλογη προς την κοινωνική συμπεριφορά τους ή τη σοβαρότητά της·

δ) 

η διάθεση στην αγορά, η θέση σε λειτουργία για τον συγκεκριμένο αυτό σκοπό ή η χρήση συστήματος ΤΝ για τη διενέργεια εκτιμήσεων κινδύνου φυσικών προσώπων προκειμένου να εκτιμηθεί ή να προβλεφθεί ο κίνδυνος τέλεσης αξιόποινης πράξης από φυσικό πρόσωπο, με βάση αποκλειστικά την κατάρτιση προφίλ ενός φυσικού προσώπου ή την αξιολόγηση των γνωρισμάτων και των χαρακτηριστικών της προσωπικότητάς του· η απαγόρευση αυτή δεν ισχύει για συστήματα ΤΝ που χρησιμοποιούνται για να υποστηριχθεί η ανθρώπινη αξιολόγηση της συμμετοχής ενός προσώπου σε εγκληματική δραστηριότητα, η οποία βασίζεται ήδη σε αντικειμενικά και επαληθεύσιμα περιστατικά που συνδέονται άμεσα με εγκληματική δραστηριότητα·

ε) 

η διάθεση στην αγορά, η θέση σε λειτουργία για τον συγκεκριμένο αυτό σκοπό ή η χρήση συστημάτων ΤΝ που δημιουργούν ή επεκτείνουν βάσεις δεδομένων αναγνώρισης προσώπου μέσω της μη στοχευμένης εξαγωγής εικόνων προσώπου από το διαδίκτυο ή βίντεο CCTV·

στ) 

η διάθεση στην αγορά, η θέση σε λειτουργία για τον συγκεκριμένο αυτό σκοπό ή η χρήση συστημάτων ΤΝ για τη συναγωγή συναισθημάτων φυσικού προσώπου στους τομείς του χώρου εργασίας και των εκπαιδευτικών ιδρυμάτων, εκτός εάν η χρήση του συστήματος ΤΝ προορίζεται να τεθεί σε λειτουργία ή να διατεθεί στην αγορά για ιατρικούς λόγους ή λόγους ασφαλείας·

ζ) 

η διάθεση στην αγορά, η θέση σε λειτουργία για τον συγκεκριμένο αυτό σκοπό ή η χρήση συστημάτων βιομετρικής κατηγοριοποίησης που κατηγοριοποιούν με μεμονωμένο τρόπο φυσικά πρόσωπα με βάση τα βιομετρικά δεδομένα τους για να εξαχθούν ή να συναχθούν συμπεράσματα σχετικά με τη φυλή, τα πολιτικά φρονήματα, τη συμμετοχή σε συνδικαλιστική οργάνωση, τις θρησκευτικές ή φιλοσοφικές πεποιθήσεις, τη σεξουαλική ζωή ή τον γενετήσιο προσανατολισμό τους· η απαγόρευση αυτή δεν καλύπτει οποιαδήποτε επισήμανση ή φιλτράρισμα συνόλων βιομετρικών δεδομένων που έχουν αποκτηθεί νόμιμα, όπως εικόνες, με βάση βιομετρικά δεδομένα ή κατηγοριοποίηση βιομετρικών δεδομένων στον τομέα της επιβολής του νόμου·

η) 

η χρήση συστημάτων εξ αποστάσεως βιομετρικής ταυτοποίησης «σε πραγματικό χρόνο», σε δημόσια προσβάσιμους χώρους για τους σκοπούς της επιβολής του νόμου, εκτός εάν και στον βαθμό που η χρήση αυτή είναι απολύτως αναγκαία για έναν από τους ακόλουθους στόχους:

i) 

τη στοχευμένη αναζήτηση συγκεκριμένων θυμάτων απαγωγής, εμπορίας ανθρώπων ή σεξουαλικής εκμετάλλευσης ανθρώπων, καθώς και την αναζήτηση εξαφανισθέντων προσώπων·

ii) 

την πρόληψη συγκεκριμένης, ουσιαστικής και επικείμενης απειλής κατά της ζωής ή της σωματικής ακεραιότητας φυσικών προσώπων ή πραγματικής και υπαρκτής ή πραγματικής και προβλέψιμης απειλής τρομοκρατικής επίθεσης·

iii) 

τον εντοπισμό ή την ταυτοποίηση προσώπου ύποπτου για την τέλεση αξιόποινης πράξης, για τον σκοπό της διεξαγωγής ποινικής έρευνας ή δίωξης ή εκτέλεσης ποινικής ποινής για αξιόποινες πράξεις που αναφέρονται στο παράρτημα II και τιμωρούνται στο οικείο κράτος μέλος με στερητική της ελευθερίας ποινή ή στερητικό της ελευθερίας μέτρο ασφάλειας ανώτατης διάρκειας τουλάχιστον τεσσάρων ετών.

Το πρώτο εδάφιο στοιχείο η) εφαρμόζεται με την επιφύλαξη του άρθρου 9 του κανονισμού (ΕΕ) 2016/679 για την επεξεργασία βιομετρικών δεδομένων για σκοπούς άλλους από την επιβολή του νόμου.

Article 5 1a.

For the purposes of paragraph 1, first subparagraph, points (ba) and (bb):

(a) 

the placing on the market or putting into service of an AI system that generates or manipulates the material or performance referred to in paragraph 1, first subparagraph, point (ba) or (bb) is only prohibited where:

(i) 

that generation or manipulation is the intended purpose of the AI system; or

(ii) 

the system’s design, training, architecture, capabilities or user-facing functionalities make that generation or manipulation a reasonably foreseeable and reproducible outcome, without requiring significant technical modification, and the system does not have reasonable and adequate technical safety measures and other safeguards to reliably prevent that generation or manipulation, taking into account reasonably foreseeable misuse, and to correct observed or reported misuse;

(b) 

the use of an AI system that generates or manipulates the material or performance referred to in paragraph 1, first subparagraph, points (ba) and (bb) is only prohibited where the deployer uses the system for the purpose of generating or manipulating such material or performance.

Article 5 1b.
For the purposes of paragraph 1, first subparagraph, point (ba), an AI system that manipulates material in a way that does not increase the exposure of any depicted intimate parts or alter the nature of any depicted sexually explicit activities shall not constitute manipulation.
Άρθρο 5 2.

Η χρήση συστημάτων εξ αποστάσεως βιομετρικής ταυτοποίησης «σε πραγματικό χρόνο» σε δημόσια προσβάσιμους χώρους για τους σκοπούς της επιβολής του νόμου, για οποιονδήποτε από τους στόχους που αναφέρονται στην παράγραφο 1 πρώτο εδάφιο στοιχείο η), εφαρμόζεται για τους σκοπούς που καθορίζονται στο εν λόγω στοιχείο, ώστε μόνο να επιβεβαιωθεί η ταυτότητα του ειδικά στοχευόμενου ατόμου, και λαμβάνει υπόψη τα ακόλουθα στοιχεία:

α) 

τη φύση της κατάστασης που οδηγεί στην πιθανή χρήση, ειδικότερα τη σοβαρότητα, την πιθανότητα και το μέγεθος της βλάβης που θα μπορούσε να προκληθεί εάν δεν είχε χρησιμοποιηθεί το σύστημα·

β) 

τις συνέπειες της χρήσης του συστήματος για τα δικαιώματα και τις ελευθερίες όλων των ενδιαφερόμενων προσώπων, ειδικότερα τη σοβαρότητα, την πιθανότητα και την έκταση των εν λόγω συνεπειών.

Επιπλέον, η χρήση συστημάτων εξ αποστάσεως βιομετρικής ταυτοποίησης «σε πραγματικό χρόνο» σε δημόσια προσβάσιμους χώρους για τους σκοπούς της επιβολής του νόμου για οποιονδήποτε από τους στόχους που αναφέρονται στο στοιχείο η) του πρώτου εδαφίου της παραγράφου 1 του παρόντος άρθρου συμμορφώνεται με τις αναγκαίες και αναλογικές διασφαλίσεις και προϋποθέσεις σχετικά με τη χρήση σύμφωνα με το εθνικό δίκαιο που επιτρέπει τη χρήση αυτήν, ιδίως όσον αφορά τους χρονικούς και γεωγραφικούς περιορισμούς, καθώς και τους περιορισμούς σχετικά με πρόσωπα. Η χρήση του συστήματος εξ αποστάσεως βιομετρικής ταυτοποίησης «σε πραγματικό χρόνο» σε δημόσια προσβάσιμους χώρους επιτρέπεται μόνο εάν η αρχή επιβολής του νόμου έχει ολοκληρώσει εκτίμηση επιπτώσεων στα θεμελιώδη δικαιώματα, όπως προβλέπεται στο άρθρο 27, και έχει καταχωρίσει το σύστημα στη βάση δεδομένων της ΕΕ σύμφωνα με το άρθρο 49. Ωστόσο, σε δεόντως αιτιολογημένες επείγουσες περιπτώσεις, η χρήση τέτοιων συστημάτων μπορεί να αρχίσει χωρίς την καταχώριση στη βάση δεδομένων της ΕΕ, υπό την προϋπόθεση ότι η εν λόγω καταχώριση θα ολοκληρωθεί χωρίς αδικαιολόγητη καθυστέρηση.

Άρθρο 5 3.
Για τους σκοπούς της παραγράφου 1 πρώτο εδάφιο στοιχείο η) και της παραγράφου 2, κάθε χρήση συστήματος εξ αποστάσεως βιομετρικής ταυτοποίησης «σε πραγματικό χρόνο» σε δημόσια προσβάσιμους χώρους για τους σκοπούς της επιβολής του νόμου υπόκειται σε προηγούμενη άδεια που χορηγείται από δικαστική αρχή ή ανεξάρτητη διοικητική αρχή της οποίας η απόφαση είναι δεσμευτική του κράτους μέλους στο οποίο πρόκειται να πραγματοποιηθεί η χρήση και η οποία εκδίδεται κατόπιν αιτιολογημένου αιτήματος και σύμφωνα με τους λεπτομερείς κανόνες του εθνικού δικαίου που αναφέρονται στην παράγραφο 5. Ωστόσο, σε δεόντως αιτιολογημένες επείγουσες περιπτώσεις, η χρήση του εν λόγω συστήματος μπορεί να αρχίσει χωρίς άδεια, υπό την προϋπόθεση ότι η εν λόγω άδεια θα ζητηθεί χωρίς αδικαιολόγητη καθυστέρηση και το αργότερο εντός εικοσιτεσσάρων ωρών. Εάν η εν λόγω άδεια απορριφθεί, η χρήση διακόπτεται αμέσως και το σύνολο των δεδομένων, καθώς και τα αποτελέσματα και τα στοιχεία εξόδου αυτής της χρήσης, απορρίπτονται και διαγράφονται αμέσως.

Η αρμόδια δικαστική αρχή ή η ανεξάρτητη διοικητική αρχή της οποίας η απόφαση είναι δεσμευτική χορηγεί την άδεια μόνο εφόσον έχει πειστεί, με βάση αντικειμενικά στοιχεία ή σαφείς ενδείξεις που της προσκομίζονται, ότι η χρήση του εν λόγω συστήματος εξ αποστάσεως βιομετρικής ταυτοποίησης «σε πραγματικό χρόνο» είναι αναγκαία και αναλογική για την επίτευξη ενός από τους στόχους που καθορίζονται στην παράγραφο 1 πρώτο εδάφιο στοιχείο η), όπως προσδιορίζονται στο αίτημα, και, ιδίως, περιορίζεται σε ό,τι είναι απολύτως αναγκαίο όσον αφορά τη χρονική περίοδο, καθώς και το γεωγραφικό και προσωπικό πεδίο εφαρμογής. Κατά τη λήψη απόφασης σχετικά με το αίτημα, η εν λόγω αρχή λαμβάνει υπόψη τα στοιχεία που αναφέρονται στην παράγραφο 2. Δεν επιτρέπεται να λαμβάνεται απόφαση που έχει δυσμενείς νομικές συνέπειες για ένα πρόσωπο αποκλειστικά με βάση τα στοιχεία εξόδου του συστήματος εξ αποστάσεως βιομετρικής ταυτοποίησης «σε πραγματικό χρόνο».

Άρθρο 5 4.
Με την επιφύλαξη της παραγράφου 3, κάθε χρήση συστήματος εξ αποστάσεως βιομετρικής ταυτοποίησης «σε πραγματικό χρόνο» σε δημόσια προσβάσιμους χώρους για σκοπούς επιβολής του νόμου κοινοποιείται στην αρμόδια αρχή εποπτείας της αγοράς και στην εθνική αρχή προστασίας δεδομένων σύμφωνα με τους εθνικούς κανόνες που αναφέρονται στην παράγραφο 5. Η κοινοποίηση περιέχει τουλάχιστον τις πληροφορίες που καθορίζονται στην παράγραφο 6 και δεν περιλαμβάνει ευαίσθητα επιχειρησιακά δεδομένα.
Άρθρο 5 5.
Ένα κράτος μέλος μπορεί να αποφασίσει να προβλέψει τη δυνατότητα πλήρους ή μερικής έγκρισης της χρήσης συστημάτων εξ αποστάσεως βιομετρικής ταυτοποίησης «σε πραγματικό χρόνο» σε δημόσια προσβάσιμους χώρους για τους σκοπούς της επιβολής του νόμου εντός των ορίων και υπό τις προϋποθέσεις που απαριθμούνται στην παράγραφο 1 πρώτο εδάφιο στοιχείο η) και στις παραγράφους 2 και 3. Τα ενδιαφερόμενα κράτη μέλη θεσπίζουν στο εθνικό τους δίκαιο τους αναγκαίους λεπτομερείς κανόνες σχετικά με την υποβολή αιτήματος για τις άδειες που αναφέρονται στην παράγραφο 3, την έκδοση και τη χρήση αυτών, καθώς και την εποπτεία αυτών και την υποβολή αναφορών όσον αφορά αυτές τις άδειες. Οι εν λόγω κανόνες προσδιορίζουν επίσης σε σχέση με ποιους από τους στόχους που απαριθμούνται στην παράγραφο 1 πρώτο εδάφιο στοιχείο η), μεταξύ άλλων για ποια από τις αξιόποινες πράξεις που αναφέρονται στο στοιχείο η) σημείο iii) αυτού, μπορεί να επιτραπεί στις αρμόδιες αρχές να χρησιμοποιούν τα εν λόγω συστήματα για τους σκοπούς της επιβολής του νόμου. Τα κράτη μέλη κοινοποιούν στην Επιτροπή τους εν λόγω κανόνες το αργότερο τριάντα ημέρες μετά την έγκρισή τους. Τα κράτη μέλη μπορούν να θεσπίζουν, σύμφωνα με το ενωσιακό δίκαιο, πιο περιοριστική νομοθεσία σχετικά με τη χρήση συστημάτων εξ αποστάσεως βιομετρικής ταυτοποίησης.
Άρθρο 5 6.
Οι εθνικές αρχές εποπτείας της αγοράς και οι εθνικές αρχές προστασίας δεδομένων των κρατών μελών στις οποίες έχει κοινοποιηθεί η χρήση συστημάτων εξ αποστάσεως βιομετρικής ταυτοποίησης «σε πραγματικό χρόνο» σε δημόσια προσβάσιμους χώρους για σκοπούς επιβολής του νόμου δυνάμει της παραγράφου 4 υποβάλλουν στην Επιτροπή ετήσιες εκθέσεις σχετικά με την εν λόγω χρήση. Για τον σκοπό αυτόν, η Επιτροπή παρέχει στα κράτη μέλη και στις εθνικές αρχές εποπτείας της αγοράς και προστασίας δεδομένων υπόδειγμα, το οποίο περιλαμβάνει πληροφορίες σχετικά με τον αριθμό των αποφάσεων που λαμβάνονται από τις αρμόδιες δικαστικές αρχές ή από ανεξάρτητη διοικητική αρχή της οποίας η απόφαση είναι δεσμευτική, κατόπιν αιτημάτων αδειοδότησης σύμφωνα με την παράγραφο 3, και το αποτέλεσμά τους.
Άρθρο 5 7.
Η Επιτροπή δημοσιεύει ετήσιες εκθέσεις σχετικά με τη χρήση συστημάτων εξ αποστάσεως βιομετρικής ταυτοποίησης «σε πραγματικό χρόνο» σε δημόσια προσβάσιμους χώρους για σκοπούς επιβολής του νόμου, με βάση ομαδοποιημένα δεδομένα στα κράτη μέλη, οι οποίες βασίζονται στις ετήσιες εκθέσεις που αναφέρονται στην παράγραφο 6. Οι εν λόγω ετήσιες εκθέσεις δεν περιλαμβάνουν ευαίσθητα επιχειρησιακά δεδομένα των σχετικών δραστηριοτήτων επιβολής του νόμου.
Άρθρο 5 8.
Το παρόν άρθρο δεν θίγει τις απαγορεύσεις που ισχύουν όταν μια πρακτική ΤΝ παραβαίνει άλλους κανόνες ενωσιακού δικαίου.

1.1 Παραπομπές

1.2 Εντοπισμένες απαιτήσεις

1.3 Σχετικά πρότυπα

2. Εντοπισμένες απαιτήσεις

Απαιτήσεις
Πηγή Απαίτηση

3. Σχετικά πρότυπα

Πρότυπα
Πηγή Απαίτηση
SCF AI & Autonomous Technologies Conformity

Description

Mechanisms exist to ensure deployed Artificial Intelligence (AI) and Autonomous Technologies (AAT) conform to applicable statutory and regulatory requirements, based on:
(1) Defined use cases;
(2) Geographic markets; and
(3) Use of Intellectual Property (IP).

Possible Solutions & Considerations

Micro-Small Business (<10 staff) / BLS Firm Size Classes 1-2

∙ Review applicable AI regulations before deploying AI tools

Small Business (10-49 staff) / BLS Firm Size Classes 3-4

∙ Legal review of AI deployments for regulatory compliance

Medium Business (50-249 staff) / BLS Firm Size Classes 5-6

∙ Formal AI compliance review process
∙ Regulatory mapping (EU AI Act, NIST AI RMF)

Large Business (250-999 staff) / BLS Firm Size Classes 7-8

∙ AI regulatory compliance program
∙ Dedicated compliance review for AI deployments

Enterprise (> 1,000 staff) / BLS Firm Size Class 9

∙ Enterprise AI regulatory compliance framework
∙ Legal and compliance team integration
∙ Automated regulatory tracking
∙ AI Act conformity assessments

SCR-CMM

Level 0 Not Performed

Practices are non-existent, based on the inability to demonstrate an implemented and operational capability. A reasonable person would conclude the control is not being performed.

Level 1 Performed Informally

SCR-CMM Level 1 criteria definitions are not available for this control:
▪ A reasonable person would conclude this control requires a structured process.
▪ At this level of maturity, the "ad hoc" nature of performing a capability informally would indicate the intent of the control is not met due to a lack of consistency and formality.

Level 2 Planned Tracked

Artificial Intelligence and Autonomous Technology (AAT) capabilities are requirements-driven, but are not standardized across the entity (e.g., local/regional level consistency). Capability criteria associated with this control reasonably expect the following criteria to exist:
▪ Policies and standards associated with AAT domain capabilities are formally documented and centrally-managed by the entity.
▪ Standardized Operating Procedures (SOP) associated with AAT domain capabilities are documented and maintained by process owners.
▪ IT and/or cybersecurity personnel work with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with AAT domain capabilities to address applicable statutory, regulatory and/or contractual requirements for Technology Assets, Applications, Services and/or Data (TAASD).
▪ Artificial Intelligence (AI)-related controls are primarily administrative and preventative in nature (e.g., policies, standards and procedures & guidelines).
▪ Asset management may be a defined function (e.g., team or department) or assigned as an additional duty to existing IT and/or cybersecurity personnel.
▪ AAT is regarded as a technology and governed by the entity's existing IT governance practices.
▪ No formal Governance, Risk & Compliance (GRC) team exists to provide oversight of AAT-related activities. GRC functions are assigned to existing IT and/or cybersecurity personnel.

Level 3 Well Defined

Artificial Intelligence and Autonomous Technology (AAT) capabilities are standardized across the entity for applicability to People, Processes, Technologies, Data and/or Facilities (PPTDF) to ensure consistency for Technology Assets, Applications, Services and/or Data (TAASD). Capability criteria associated with this control reasonably expect the following criteria to exist:
▪ Policies and standards associated with AAT domain capabilities are formally documented and centrally-managed by the entity's Governance, Risk & Compliance (GRC) team, or similar function.
▪ Standardized Operating Procedures (SOP) associated with AAT domain capabilities are well-documented and kept current by process owners.
▪ An Artificial Intelligence Governance (AIG) team, or similar function, is appropriately staffed and supported to implement and maintain AAT domain capabilities.
▪ Technology is leveraged to enhance the efficiency and accuracy of AI governance, risk management and compliance operations (e.g., dedicated AI governance platform).
▪ The entity's Governance, Risk & Compliance (GRC) team, or similar function, works with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with AAT domain capabilities to address Minimum Compliance Requirements (MCR) (e.g., applicable statutory, regulatory and/or contractual requirements) and Discretionary Security Requirements (DSR) (e.g., entity-required controls).
▪ An implemented and operational capability exists to ensure deployed AAT conform to applicable statutory and regulatory requirements, based on:
(1) Defined use cases;
(2) Geographic markets; and
(3) Use of Intellectual Property (IP).

Level 4 Quantitatively Controlled

Utilize SCR-CMM Level 3 criteria definitions:
▪ There are no defined Level 4 criteria, since it is reasonable to assume a quantitatively-controlled process is not necessary to operationalize this control.
▪ While it may be possible to develop “metrics-driven” capabilities for this control, the criteria would be organization-specific to define.

Level 5 Continuously Improving

Utilize SCR-CMM Level 3 or Level 4 (if available) criteria definitions:
▪ There are no defined Level 5 criteria, since it is reasonable to assume a continuously-improving process is not necessary to operationalize this control.
▪ Level 5 capabilities should be considered “world-class” where the control builds on Level 4 capabilities, but are continuously improving through Artificial Intelligence (AI) and/or Machine Learning (ML) technologies.
▪ While it may be possible to develop responsive capabilities for this control through the use of AI and/or ML technologies, the criteria would be organization-specific to define.
SCF Manipulative or Deceptive Techniques

Description

Mechanisms exist to prohibit the sale, deployment and/or use of Artificial Intelligence (AI) and Autonomous Technologies (AAT) that utilize manipulative or deceptive techniques (including biased data) to impair an individual's ability to make a reasonably informed decision.

Possible Solutions & Considerations

Micro-Small Business (<10 staff) / BLS Firm Size Classes 1-2

∙ Policy prohibiting use of AI tools with deceptive/manipulative capabilities

Small Business (10-49 staff) / BLS Firm Size Classes 3-4

∙ AI acceptable use policy prohibiting manipulative AI techniques

Medium Business (50-249 staff) / BLS Firm Size Classes 5-6

∙ Formal policy prohibiting manipulative AI
∙ Review process before AI tool adoption

Large Business (250-999 staff) / BLS Firm Size Classes 7-8

∙ AI ethics program
∙ Formal prohibition on manipulative AI
∙ Vendor agreements with ethics requirements

Enterprise (> 1,000 staff) / BLS Firm Size Class 9

∙ Enterprise AI ethics framework
∙ Ethics board review
∙ Regulatory compliance for AI manipulation prohibitions

SCR-CMM

Level 0 Not Performed

Practices are non-existent, based on the inability to demonstrate an implemented and operational capability. A reasonable person would conclude the control is not being performed.

Level 1 Performed Informally

SCR-CMM Level 1 criteria definitions are not available for this control:
▪ A reasonable person would conclude this control requires a structured process.
▪ At this level of maturity, the "ad hoc" nature of performing a capability informally would indicate the intent of the control is not met due to a lack of consistency and formality.

Level 2 Planned Tracked

Artificial Intelligence and Autonomous Technology (AAT) capabilities are requirements-driven, but are not standardized across the entity (e.g., local/regional level consistency). Capability criteria associated with this control reasonably expect the following criteria to exist:
▪ Policies and standards associated with AAT domain capabilities are formally documented and centrally-managed by the entity.
▪ Standardized Operating Procedures (SOP) associated with AAT domain capabilities are documented and maintained by process owners.
▪ IT and/or cybersecurity personnel work with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with AAT domain capabilities to address applicable statutory, regulatory and/or contractual requirements for Technology Assets, Applications, Services and/or Data (TAASD).
▪ Artificial Intelligence (AI)-related controls are primarily administrative and preventative in nature (e.g., policies, standards and procedures & guidelines).
▪ Asset management may be a defined function (e.g., team or department) or assigned as an additional duty to existing IT and/or cybersecurity personnel.

Level 3 Well Defined

Artificial Intelligence and Autonomous Technology (AAT) capabilities are standardized across the entity for applicability to People, Processes, Technologies, Data and/or Facilities (PPTDF) to ensure consistency for Technology Assets, Applications, Services and/or Data (TAASD). Capability criteria associated with this control reasonably expect the following criteria to exist:
▪ Policies and standards associated with AAT domain capabilities are formally documented and centrally-managed by the entity's Governance, Risk & Compliance (GRC) team, or similar function.
▪ Standardized Operating Procedures (SOP) associated with AAT domain capabilities are well-documented and kept current by process owners.
▪ An Artificial Intelligence Governance (AIG) team, or similar function, is appropriately staffed and supported to implement and maintain AAT domain capabilities.
▪ Technology is leveraged to enhance the efficiency and accuracy of AI governance, risk management and compliance operations (e.g., dedicated AI governance platform).
▪ The entity's Governance, Risk & Compliance (GRC) team, or similar function, works with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with AAT domain capabilities to address Minimum Compliance Requirements (MCR) (e.g., applicable statutory, regulatory and/or contractual requirements) and Discretionary Security Requirements (DSR) (e.g., entity-required controls).
▪ An implemented and operational capability exists to prohibit the sale, deployment and/or use of AAT that utilize manipulative or deceptive techniques (including biased data) to impair an individual's ability to make a reasonably informed decision.

Level 4 Quantitatively Controlled

Utilize SCR-CMM Level 3 criteria definitions:
▪ There are no defined Level 4 criteria, since it is reasonable to assume a quantitatively-controlled process is not necessary to operationalize this control.
▪ While it may be possible to develop “metrics-driven” capabilities for this control, the criteria would be organization-specific to define.

Level 5 Continuously Improving

Utilize SCR-CMM Level 3 or Level 4 (if available) criteria definitions:
▪ There are no defined Level 5 criteria, since it is reasonable to assume a continuously-improving process is not necessary to operationalize this control.
▪ Level 5 capabilities should be considered “world-class” where the control builds on Level 4 capabilities, but are continuously improving through Artificial Intelligence (AI) and/or Machine Learning (ML) technologies.
▪ While it may be possible to develop responsive capabilities for this control through the use of AI and/or ML technologies, the criteria would be organization-specific to define.
SCF Materially Distorting Behaviors

Description

Mechanisms exist to prohibit the sale, deployment and/or use of Artificial Intelligence (AI) and Autonomous Technologies (AAT) that exploit a human subject to materially affect a targeted behavior due to their:
(1) Age;
(2) Disability; or
(3) Specific social or economic situation.

Possible Solutions & Considerations

Micro-Small Business (<10 staff) / BLS Firm Size Classes 1-2

∙ Policy prohibiting AI tools that exploit human vulnerabilities

Small Business (10-49 staff) / BLS Firm Size Classes 3-4

∙ AI acceptable use policy prohibiting exploitative AI behaviors

Medium Business (50-249 staff) / BLS Firm Size Classes 5-6

∙ Formal policy prohibiting materially distorting AI
∙ Impact assessment process

Large Business (250-999 staff) / BLS Firm Size Classes 7-8

∙ AI ethics program with formal prohibition
∙ Vendor compliance requirements

Enterprise (> 1,000 staff) / BLS Firm Size Class 9

∙ Enterprise AI ethics framework
∙ Human rights impact assessments
∙ Regulatory compliance mapping

SCR-CMM

Level 0 Not Performed

Practices are non-existent, based on the inability to demonstrate an implemented and operational capability. A reasonable person would conclude the control is not being performed.

Level 1 Performed Informally

SCR-CMM Level 1 criteria definitions are not available for this control:
▪ A reasonable person would conclude this control requires a structured process.
▪ At this level of maturity, the "ad hoc" nature of performing a capability informally would indicate the intent of the control is not met due to a lack of consistency and formality.

Level 2 Planned Tracked

Artificial Intelligence and Autonomous Technology (AAT) capabilities are requirements-driven, but are not standardized across the entity (e.g., local/regional level consistency). Capability criteria associated with this control reasonably expect the following criteria to exist:
▪ Policies and standards associated with AAT domain capabilities are formally documented and centrally-managed by the entity.
▪ Standardized Operating Procedures (SOP) associated with AAT domain capabilities are documented and maintained by process owners.
▪ IT and/or cybersecurity personnel work with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with AAT domain capabilities to address applicable statutory, regulatory and/or contractual requirements for Technology Assets, Applications, Services and/or Data (TAASD).
▪ Artificial Intelligence (AI)-related controls are primarily administrative and preventative in nature (e.g., policies, standards and procedures & guidelines).
▪ Asset management may be a defined function (e.g., team or department) or assigned as an additional duty to existing IT and/or cybersecurity personnel.

Level 3 Well Defined

Artificial Intelligence and Autonomous Technology (AAT) capabilities are standardized across the entity for applicability to People, Processes, Technologies, Data and/or Facilities (PPTDF) to ensure consistency for Technology Assets, Applications, Services and/or Data (TAASD). Capability criteria associated with this control reasonably expect the following criteria to exist:
▪ Policies and standards associated with AAT domain capabilities are formally documented and centrally-managed by the entity's Governance, Risk & Compliance (GRC) team, or similar function.
▪ Standardized Operating Procedures (SOP) associated with AAT domain capabilities are well-documented and kept current by process owners.
▪ An Artificial Intelligence Governance (AIG) team, or similar function, is appropriately staffed and supported to implement and maintain AAT domain capabilities.
▪ Technology is leveraged to enhance the efficiency and accuracy of AI governance, risk management and compliance operations (e.g., dedicated AI governance platform).
▪ The entity's Governance, Risk & Compliance (GRC) team, or similar function, works with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with AAT domain capabilities to address Minimum Compliance Requirements (MCR) (e.g., applicable statutory, regulatory and/or contractual requirements) and Discretionary Security Requirements (DSR) (e.g., entity-required controls).
▪ An implemented and operational capability exists to prohibit the sale, deployment and/or use of AAT that exploit a human subject to materially affect a targeted behavior due to their:
(1) Age;
(2) Disability; or
(3) Specific social or economic situation.

Level 4 Quantitatively Controlled

Utilize SCR-CMM Level 3 criteria definitions:
▪ There are no defined Level 4 criteria, since it is reasonable to assume a quantitatively-controlled process is not necessary to operationalize this control.
▪ While it may be possible to develop “metrics-driven” capabilities for this control, the criteria would be organization-specific to define.

Level 5 Continuously Improving

Utilize SCR-CMM Level 3 or Level 4 (if available) criteria definitions:
▪ There are no defined Level 5 criteria, since it is reasonable to assume a continuously-improving process is not necessary to operationalize this control.
▪ Level 5 capabilities should be considered “world-class” where the control builds on Level 4 capabilities, but are continuously improving through Artificial Intelligence (AI) and/or Machine Learning (ML) technologies.
▪ While it may be possible to develop responsive capabilities for this control through the use of AI and/or ML technologies, the criteria would be organization-specific to define.
SCF Social Scoring

Description

Mechanisms exist to prohibit the sale, deployment and/or use of Artificial Intelligence (AI) and Autonomous Technologies (AAT) that:
(1) Evaluate human subjects over a certain period of time based on their social behavior or known, inferred or predicted personal or personality characteristics; and
(2) Assign a "social score" branding or equivalent classification.

Possible Solutions & Considerations

Micro-Small Business (<10 staff) / BLS Firm Size Classes 1-2

∙ Policy prohibiting social scoring AI tools

Small Business (10-49 staff) / BLS Firm Size Classes 3-4

∙ AI acceptable use policy prohibiting social scoring

Medium Business (50-249 staff) / BLS Firm Size Classes 5-6

∙ Formal prohibition on social scoring AI
∙ Review process before AI adoption

Large Business (250-999 staff) / BLS Firm Size Classes 7-8

∙ AI ethics program with formal prohibition
∙ Legal review for AI deployments

Enterprise (> 1,000 staff) / BLS Firm Size Class 9

∙ Enterprise AI ethics framework
∙ Regulatory compliance (EU AI Act Art. 5)
∙ Automated detection of prohibited practices

SCR-CMM

Level 0 Not Performed

Practices are non-existent, based on the inability to demonstrate an implemented and operational capability. A reasonable person would conclude the control is not being performed.

Level 1 Performed Informally

SCR-CMM Level 1 criteria definitions are not available for this control:
▪ A reasonable person would conclude this control requires a structured process.
▪ At this level of maturity, the "ad hoc" nature of performing a capability informally would indicate the intent of the control is not met due to a lack of consistency and formality.

Level 2 Planned Tracked

Artificial Intelligence and Autonomous Technology (AAT) capabilities are requirements-driven, but are not standardized across the entity (e.g., local/regional level consistency). Capability criteria associated with this control reasonably expect the following criteria to exist:
▪ Policies and standards associated with AAT domain capabilities are formally documented and centrally-managed by the entity.
▪ Standardized Operating Procedures (SOP) associated with AAT domain capabilities are documented and maintained by process owners.
▪ IT and/or cybersecurity personnel work with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with AAT domain capabilities to address applicable statutory, regulatory and/or contractual requirements for Technology Assets, Applications, Services and/or Data (TAASD).
▪ Artificial Intelligence (AI)-related controls are primarily administrative and preventative in nature (e.g., policies, standards and procedures & guidelines).
▪ Asset management may be a defined function (e.g., team or department) or assigned as an additional duty to existing IT and/or cybersecurity personnel.

Level 3 Well Defined

Artificial Intelligence and Autonomous Technology (AAT) capabilities are standardized across the entity for applicability to People, Processes, Technologies, Data and/or Facilities (PPTDF) to ensure consistency for Technology Assets, Applications, Services and/or Data (TAASD). Capability criteria associated with this control reasonably expect the following criteria to exist:
▪ Policies and standards associated with AAT domain capabilities are formally documented and centrally-managed by the entity's Governance, Risk & Compliance (GRC) team, or similar function.
▪ Standardized Operating Procedures (SOP) associated with AAT domain capabilities are well-documented and kept current by process owners.
▪ An Artificial Intelligence Governance (AIG) team, or similar function, is appropriately staffed and supported to implement and maintain AAT domain capabilities.
▪ Technology is leveraged to enhance the efficiency and accuracy of AI governance, risk management and compliance operations (e.g., dedicated AI governance platform).
▪ The entity's Governance, Risk & Compliance (GRC) team, or similar function, works with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with AAT domain capabilities to address Minimum Compliance Requirements (MCR) (e.g., applicable statutory, regulatory and/or contractual requirements) and Discretionary Security Requirements (DSR) (e.g., entity-required controls).
▪ An implemented and operational capability exists to prohibit the sale, deployment and/or use of AAT that:
(1) Evaluate human subjects over a certain period of time based on their social behavior or known, inferred or predicted personal or personality characteristics; and
(2) Assign a "social score" branding or equivalent classification.

Level 4 Quantitatively Controlled

Utilize SCR-CMM Level 3 criteria definitions:
▪ There are no defined Level 4 criteria, since it is reasonable to assume a quantitatively-controlled process is not necessary to operationalize this control.
▪ While it may be possible to develop “metrics-driven” capabilities for this control, the criteria would be organization-specific to define.

Level 5 Continuously Improving

Utilize SCR-CMM Level 3 or Level 4 (if available) criteria definitions:
▪ There are no defined Level 5 criteria, since it is reasonable to assume a continuously-improving process is not necessary to operationalize this control.
▪ Level 5 capabilities should be considered “world-class” where the control builds on Level 4 capabilities, but are continuously improving through Artificial Intelligence (AI) and/or Machine Learning (ML) technologies.
▪ While it may be possible to develop responsive capabilities for this control through the use of AI and/or ML technologies, the criteria would be organization-specific to define.
SCF Detrimental or Unfavorable Treatment

Description

Mechanisms exist to prohibit the sale, deployment and/or use of Artificial Intelligence (AI) and Autonomous Technologies (AAT) that lead to the detrimental or unfavorable treatment of certain data subjects, or groups of data subjects, in social contexts that is:
(1) Are unrelated to the contexts in which the data was originally generated or collected; and/or
(2) Is unjustified or disproportionate to their social behavior or its gravity.

Possible Solutions & Considerations

Micro-Small Business (<10 staff) / BLS Firm Size Classes 1-2

∙ Policy prohibiting AI tools causing unfair treatment

Small Business (10-49 staff) / BLS Firm Size Classes 3-4

∙ AI acceptable use policy prohibiting discriminatory AI

Medium Business (50-249 staff) / BLS Firm Size Classes 5-6

∙ Formal policy on AI fairness and non-discrimination

Large Business (250-999 staff) / BLS Firm Size Classes 7-8

∙ AI fairness program
∙ Bias testing before deployment
∙ Vendor requirements

Enterprise (> 1,000 staff) / BLS Firm Size Class 9

∙ Enterprise AI fairness framework
∙ Automated bias detection tools
∙ Third-party AI audits

SCR-CMM

Level 0 Not Performed

Practices are non-existent, based on the inability to demonstrate an implemented and operational capability. A reasonable person would conclude the control is not being performed.

Level 1 Performed Informally

SCR-CMM Level 1 criteria definitions are not available for this control:
▪ A reasonable person would conclude this control requires a structured process.
▪ At this level of maturity, the "ad hoc" nature of performing a capability informally would indicate the intent of the control is not met due to a lack of consistency and formality.

Level 2 Planned Tracked

Artificial Intelligence and Autonomous Technology (AAT) capabilities are requirements-driven, but are not standardized across the entity (e.g., local/regional level consistency). Capability criteria associated with this control reasonably expect the following criteria to exist:
▪ Policies and standards associated with AAT domain capabilities are formally documented and centrally-managed by the entity.
▪ Standardized Operating Procedures (SOP) associated with AAT domain capabilities are documented and maintained by process owners.
▪ IT and/or cybersecurity personnel work with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with AAT domain capabilities to address applicable statutory, regulatory and/or contractual requirements for Technology Assets, Applications, Services and/or Data (TAASD).
▪ Artificial Intelligence (AI)-related controls are primarily administrative and preventative in nature (e.g., policies, standards and procedures & guidelines).
▪ Asset management may be a defined function (e.g., team or department) or assigned as an additional duty to existing IT and/or cybersecurity personnel.

Level 3 Well Defined

Artificial Intelligence and Autonomous Technology (AAT) capabilities are standardized across the entity for applicability to People, Processes, Technologies, Data and/or Facilities (PPTDF) to ensure consistency for Technology Assets, Applications, Services and/or Data (TAASD). Capability criteria associated with this control reasonably expect the following criteria to exist:
▪ Policies and standards associated with AAT domain capabilities are formally documented and centrally-managed by the entity's Governance, Risk & Compliance (GRC) team, or similar function.
▪ Standardized Operating Procedures (SOP) associated with AAT domain capabilities are well-documented and kept current by process owners.
▪ An Artificial Intelligence Governance (AIG) team, or similar function, is appropriately staffed and supported to implement and maintain AAT domain capabilities.
▪ Technology is leveraged to enhance the efficiency and accuracy of AI governance, risk management and compliance operations (e.g., dedicated AI governance platform).
▪ The entity's Governance, Risk & Compliance (GRC) team, or similar function, works with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with AAT domain capabilities to address Minimum Compliance Requirements (MCR) (e.g., applicable statutory, regulatory and/or contractual requirements) and Discretionary Security Requirements (DSR) (e.g., entity-required controls).
▪ An implemented and operational capability exists to prohibit the sale, deployment and/or use of AAT that lead to the detrimental or unfavorable treatment of certain data subjects, or groups of data subjects, in social contexts that is:
(1) Are unrelated to the contexts in which the data was originally generated or collected; and/or
(2) Is unjustified or disproportionate to their social behavior or its gravity.

Level 4 Quantitatively Controlled

Utilize SCR-CMM Level 3 criteria definitions:
▪ There are no defined Level 4 criteria, since it is reasonable to assume a quantitatively-controlled process is not necessary to operationalize this control.
▪ While it may be possible to develop “metrics-driven” capabilities for this control, the criteria would be organization-specific to define.

Level 5 Continuously Improving

Utilize SCR-CMM Level 3 or Level 4 (if available) criteria definitions:
▪ There are no defined Level 5 criteria, since it is reasonable to assume a continuously-improving process is not necessary to operationalize this control.
▪ Level 5 capabilities should be considered “world-class” where the control builds on Level 4 capabilities, but are continuously improving through Artificial Intelligence (AI) and/or Machine Learning (ML) technologies.
▪ While it may be possible to develop responsive capabilities for this control through the use of AI and/or ML technologies, the criteria would be organization-specific to define.
SCF Detrimental or Unfavorable Treatment

Description

Mechanisms exist to prohibit the sale, deployment and/or use of Artificial Intelligence (AI) and Autonomous Technologies (AAT) that lead to the detrimental or unfavorable treatment of certain data subjects, or groups of data subjects, in social contexts that is:
(1) Are unrelated to the contexts in which the data was originally generated or collected; and/or
(2) Is unjustified or disproportionate to their social behavior or its gravity.

Possible Solutions & Considerations

Micro-Small Business (<10 staff) / BLS Firm Size Classes 1-2

∙ Policy prohibiting AI tools causing unfair treatment

Small Business (10-49 staff) / BLS Firm Size Classes 3-4

∙ AI acceptable use policy prohibiting discriminatory AI

Medium Business (50-249 staff) / BLS Firm Size Classes 5-6

∙ Formal policy on AI fairness and non-discrimination

Large Business (250-999 staff) / BLS Firm Size Classes 7-8

∙ AI fairness program
∙ Bias testing before deployment
∙ Vendor requirements

Enterprise (> 1,000 staff) / BLS Firm Size Class 9

∙ Enterprise AI fairness framework
∙ Automated bias detection tools
∙ Third-party AI audits

SCR-CMM

Level 0 Not Performed

Practices are non-existent, based on the inability to demonstrate an implemented and operational capability. A reasonable person would conclude the control is not being performed.

Level 1 Performed Informally

SCR-CMM Level 1 criteria definitions are not available for this control:
▪ A reasonable person would conclude this control requires a structured process.
▪ At this level of maturity, the "ad hoc" nature of performing a capability informally would indicate the intent of the control is not met due to a lack of consistency and formality.

Level 2 Planned Tracked

Artificial Intelligence and Autonomous Technology (AAT) capabilities are requirements-driven, but are not standardized across the entity (e.g., local/regional level consistency). Capability criteria associated with this control reasonably expect the following criteria to exist:
▪ Policies and standards associated with AAT domain capabilities are formally documented and centrally-managed by the entity.
▪ Standardized Operating Procedures (SOP) associated with AAT domain capabilities are documented and maintained by process owners.
▪ IT and/or cybersecurity personnel work with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with AAT domain capabilities to address applicable statutory, regulatory and/or contractual requirements for Technology Assets, Applications, Services and/or Data (TAASD).
▪ Artificial Intelligence (AI)-related controls are primarily administrative and preventative in nature (e.g., policies, standards and procedures & guidelines).
▪ Asset management may be a defined function (e.g., team or department) or assigned as an additional duty to existing IT and/or cybersecurity personnel.

Level 3 Well Defined

Artificial Intelligence and Autonomous Technology (AAT) capabilities are standardized across the entity for applicability to People, Processes, Technologies, Data and/or Facilities (PPTDF) to ensure consistency for Technology Assets, Applications, Services and/or Data (TAASD). Capability criteria associated with this control reasonably expect the following criteria to exist:
▪ Policies and standards associated with AAT domain capabilities are formally documented and centrally-managed by the entity's Governance, Risk & Compliance (GRC) team, or similar function.
▪ Standardized Operating Procedures (SOP) associated with AAT domain capabilities are well-documented and kept current by process owners.
▪ An Artificial Intelligence Governance (AIG) team, or similar function, is appropriately staffed and supported to implement and maintain AAT domain capabilities.
▪ Technology is leveraged to enhance the efficiency and accuracy of AI governance, risk management and compliance operations (e.g., dedicated AI governance platform).
▪ The entity's Governance, Risk & Compliance (GRC) team, or similar function, works with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with AAT domain capabilities to address Minimum Compliance Requirements (MCR) (e.g., applicable statutory, regulatory and/or contractual requirements) and Discretionary Security Requirements (DSR) (e.g., entity-required controls).
▪ An implemented and operational capability exists to prohibit the sale, deployment and/or use of AAT that lead to the detrimental or unfavorable treatment of certain data subjects, or groups of data subjects, in social contexts that is:
(1) Are unrelated to the contexts in which the data was originally generated or collected; and/or
(2) Is unjustified or disproportionate to their social behavior or its gravity.

Level 4 Quantitatively Controlled

Utilize SCR-CMM Level 3 criteria definitions:
▪ There are no defined Level 4 criteria, since it is reasonable to assume a quantitatively-controlled process is not necessary to operationalize this control.
▪ While it may be possible to develop “metrics-driven” capabilities for this control, the criteria would be organization-specific to define.

Level 5 Continuously Improving

Utilize SCR-CMM Level 3 or Level 4 (if available) criteria definitions:
▪ There are no defined Level 5 criteria, since it is reasonable to assume a continuously-improving process is not necessary to operationalize this control.
▪ Level 5 capabilities should be considered “world-class” where the control builds on Level 4 capabilities, but are continuously improving through Artificial Intelligence (AI) and/or Machine Learning (ML) technologies.
▪ While it may be possible to develop responsive capabilities for this control through the use of AI and/or ML technologies, the criteria would be organization-specific to define.
SCF Risk and Criminal Profiling

Description

Mechanisms exist to prohibit the sale, deployment and/or use of Artificial Intelligence (AI) and Autonomous Technologies (AAT) that:
(1) Assess the risk of an individual committing a criminal offence; and
(2) Predict risk based solely on the profiling of personality traits and characteristics.

Possible Solutions & Considerations

Micro-Small Business (<10 staff) / BLS Firm Size Classes 1-2

∙ Policy prohibiting criminal risk profiling AI tools

Small Business (10-49 staff) / BLS Firm Size Classes 3-4

∙ AI acceptable use policy prohibiting criminal profiling AI

Medium Business (50-249 staff) / BLS Firm Size Classes 5-6

∙ Formal prohibition on AI-based criminal profiling
∙ Legal review

Large Business (250-999 staff) / BLS Firm Size Classes 7-8

∙ AI ethics program with formal prohibition
∙ Legal and compliance review

Enterprise (> 1,000 staff) / BLS Firm Size Class 9

∙ Enterprise AI ethics framework
∙ Regulatory compliance (EU AI Act Art. 5)
∙ Legal review process

SCR-CMM

Level 0 Not Performed

Practices are non-existent, based on the inability to demonstrate an implemented and operational capability. A reasonable person would conclude the control is not being performed.

Level 1 Performed Informally

SCR-CMM Level 1 criteria definitions are not available for this control:
▪ A reasonable person would conclude this control requires a structured process.
▪ At this level of maturity, the "ad hoc" nature of performing a capability informally would indicate the intent of the control is not met due to a lack of consistency and formality.

Level 2 Planned Tracked

Artificial Intelligence and Autonomous Technology (AAT) capabilities are requirements-driven, but are not standardized across the entity (e.g., local/regional level consistency). Capability criteria associated with this control reasonably expect the following criteria to exist:
▪ Policies and standards associated with AAT domain capabilities are formally documented and centrally-managed by the entity.
▪ Standardized Operating Procedures (SOP) associated with AAT domain capabilities are documented and maintained by process owners.
▪ IT and/or cybersecurity personnel work with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with AAT domain capabilities to address applicable statutory, regulatory and/or contractual requirements for Technology Assets, Applications, Services and/or Data (TAASD).
▪ Artificial Intelligence (AI)-related controls are primarily administrative and preventative in nature (e.g., policies, standards and procedures & guidelines).
▪ Asset management may be a defined function (e.g., team or department) or assigned as an additional duty to existing IT and/or cybersecurity personnel.

Level 3 Well Defined

Artificial Intelligence and Autonomous Technology (AAT) capabilities are standardized across the entity for applicability to People, Processes, Technologies, Data and/or Facilities (PPTDF) to ensure consistency for Technology Assets, Applications, Services and/or Data (TAASD). Capability criteria associated with this control reasonably expect the following criteria to exist:
▪ Policies and standards associated with AAT domain capabilities are formally documented and centrally-managed by the entity's Governance, Risk & Compliance (GRC) team, or similar function.
▪ Standardized Operating Procedures (SOP) associated with AAT domain capabilities are well-documented and kept current by process owners.
▪ An Artificial Intelligence Governance (AIG) team, or similar function, is appropriately staffed and supported to implement and maintain AAT domain capabilities.
▪ Technology is leveraged to enhance the efficiency and accuracy of AI governance, risk management and compliance operations (e.g., dedicated AI governance platform).
▪ The entity's Governance, Risk & Compliance (GRC) team, or similar function, works with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with AAT domain capabilities to address Minimum Compliance Requirements (MCR) (e.g., applicable statutory, regulatory and/or contractual requirements) and Discretionary Security Requirements (DSR) (e.g., entity-required controls).
▪ An implemented and operational capability exists to prohibit the sale, deployment and/or use of AAT that:
(1) Assess the risk of an individual committing a criminal offence; and
(2) Predicts risk based solely on the profiling of personality traits and characteristics.

Level 4 Quantitatively Controlled

Utilize SCR-CMM Level 3 criteria definitions:
▪ There are no defined Level 4 criteria, since it is reasonable to assume a quantitatively-controlled process is not necessary to operationalize this control.
▪ While it may be possible to develop “metrics-driven” capabilities for this control, the criteria would be organization-specific to define.

Level 5 Continuously Improving

Utilize SCR-CMM Level 3 or Level 4 (if available) criteria definitions:
▪ There are no defined Level 5 criteria, since it is reasonable to assume a continuously-improving process is not necessary to operationalize this control.
▪ Level 5 capabilities should be considered “world-class” where the control builds on Level 4 capabilities, but are continuously improving through Artificial Intelligence (AI) and/or Machine Learning (ML) technologies.
▪ While it may be possible to develop responsive capabilities for this control through the use of AI and/or ML technologies, the criteria would be organization-specific to define.
SCF Populating Facial Recognition Databases

Description

Mechanisms exist to prohibit the sale, deployment and/or use of Artificial Intelligence (AI) and Autonomous Technologies (AAT) that create, or expand, facial recognition databases through scraping facial images from:
(1) The Internet; or
(2) Closed-Circuit Television (CCTV) footage.

Possible Solutions & Considerations

Micro-Small Business (<10 staff) / BLS Firm Size Classes 1-2

∙ Policy prohibiting facial recognition database scraping tools

Small Business (10-49 staff) / BLS Firm Size Classes 3-4

∙ AI acceptable use policy prohibiting facial recognition database scraping

Medium Business (50-249 staff) / BLS Firm Size Classes 5-6

∙ Formal prohibition on scraping facial recognition databases

Large Business (250-999 staff) / BLS Firm Size Classes 7-8

∙ AI ethics program with formal prohibition
∙ Technical controls to prevent scraping

Enterprise (> 1,000 staff) / BLS Firm Size Class 9

∙ Enterprise AI ethics framework
∙ Technical controls against facial recognition scraping
∙ Regulatory compliance

SCR-CMM

Level 0 Not Performed

Practices are non-existent, based on the inability to demonstrate an implemented and operational capability. A reasonable person would conclude the control is not being performed.

Level 1 Performed Informally

SCR-CMM Level 1 criteria definitions are not available for this control:
▪ A reasonable person would conclude this control requires a structured process.
▪ At this level of maturity, the "ad hoc" nature of performing a capability informally would indicate the intent of the control is not met due to a lack of consistency and formality.

Level 2 Planned Tracked

Artificial Intelligence and Autonomous Technology (AAT) capabilities are requirements-driven, but are not standardized across the entity (e.g., local/regional level consistency). Capability criteria associated with this control reasonably expect the following criteria to exist:
▪ Policies and standards associated with AAT domain capabilities are formally documented and centrally-managed by the entity.
▪ Standardized Operating Procedures (SOP) associated with AAT domain capabilities are documented and maintained by process owners.
▪ IT and/or cybersecurity personnel work with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with AAT domain capabilities to address applicable statutory, regulatory and/or contractual requirements for Technology Assets, Applications, Services and/or Data (TAASD).
▪ Artificial Intelligence (AI)-related controls are primarily administrative and preventative in nature (e.g., policies, standards and procedures & guidelines).
▪ Asset management may be a defined function (e.g., team or department) or assigned as an additional duty to existing IT and/or cybersecurity personnel.

Level 3 Well Defined

Artificial Intelligence and Autonomous Technology (AAT) capabilities are standardized across the entity for applicability to People, Processes, Technologies, Data and/or Facilities (PPTDF) to ensure consistency for Technology Assets, Applications, Services and/or Data (TAASD). Capability criteria associated with this control reasonably expect the following criteria to exist:
▪ Policies and standards associated with AAT domain capabilities are formally documented and centrally-managed by the entity's Governance, Risk & Compliance (GRC) team, or similar function.
▪ Standardized Operating Procedures (SOP) associated with AAT domain capabilities are well-documented and kept current by process owners.
▪ An Artificial Intelligence Governance (AIG) team, or similar function, is appropriately staffed and supported to implement and maintain AAT domain capabilities.
▪ Technology is leveraged to enhance the efficiency and accuracy of AI governance, risk management and compliance operations (e.g., dedicated AI governance platform).
▪ The entity's Governance, Risk & Compliance (GRC) team, or similar function, works with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with AAT domain capabilities to address Minimum Compliance Requirements (MCR) (e.g., applicable statutory, regulatory and/or contractual requirements) and Discretionary Security Requirements (DSR) (e.g., entity-required controls).
▪ An implemented and operational capability exists to prohibit the sale, deployment and/or use of AAT that create, or expand, facial recognition databases through scraping facial images from:
(1) The Internet; or
(2) Closed-Circuit Television (CCTV) footage.

Level 4 Quantitatively Controlled

Utilize SCR-CMM Level 3 criteria definitions:
▪ There are no defined Level 4 criteria, since it is reasonable to assume a quantitatively-controlled process is not necessary to operationalize this control.
▪ While it may be possible to develop “metrics-driven” capabilities for this control, the criteria would be organization-specific to define.

Level 5 Continuously Improving

Utilize SCR-CMM Level 3 or Level 4 (if available) criteria definitions:
▪ There are no defined Level 5 criteria, since it is reasonable to assume a continuously-improving process is not necessary to operationalize this control.
▪ Level 5 capabilities should be considered “world-class” where the control builds on Level 4 capabilities, but are continuously improving through Artificial Intelligence (AI) and/or Machine Learning (ML) technologies.
▪ While it may be possible to develop responsive capabilities for this control through the use of AI and/or ML technologies, the criteria would be organization-specific to define.
SCF Emotion Inference

Description

Mechanisms exist to prohibit the sale, deployment and/or use of Artificial Intelligence (AI) and Autonomous Technologies (AAT) that infer human emotions of an individual based on observed characteristics.

Possible Solutions & Considerations

Micro-Small Business (<10 staff) / BLS Firm Size Classes 1-2

∙ Policy prohibiting emotion inference AI tools

Small Business (10-49 staff) / BLS Firm Size Classes 3-4

∙ AI acceptable use policy prohibiting emotion inference

Medium Business (50-249 staff) / BLS Firm Size Classes 5-6

∙ Formal prohibition on AI emotion inference tools

Large Business (250-999 staff) / BLS Firm Size Classes 7-8

∙ AI ethics program
∙ Prohibition enforced in vendor agreements

Enterprise (> 1,000 staff) / BLS Firm Size Class 9

∙ Enterprise AI ethics framework
∙ Regulatory compliance mapping
∙ Technical controls against emotion inference

SCR-CMM

Level 0 Not Performed

Practices are non-existent, based on the inability to demonstrate an implemented and operational capability. A reasonable person would conclude the control is not being performed.

Level 1 Performed Informally

SCR-CMM Level 1 criteria definitions are not available for this control:
▪ A reasonable person would conclude this control requires a structured process.
▪ At this level of maturity, the "ad hoc" nature of performing a capability informally would indicate the intent of the control is not met due to a lack of consistency and formality.

Level 2 Planned Tracked

Artificial Intelligence and Autonomous Technology (AAT) capabilities are requirements-driven, but are not standardized across the entity (e.g., local/regional level consistency). Capability criteria associated with this control reasonably expect the following criteria to exist:
▪ Policies and standards associated with AAT domain capabilities are formally documented and centrally-managed by the entity.
▪ Standardized Operating Procedures (SOP) associated with AAT domain capabilities are documented and maintained by process owners.
▪ IT and/or cybersecurity personnel work with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with AAT domain capabilities to address applicable statutory, regulatory and/or contractual requirements for Technology Assets, Applications, Services and/or Data (TAASD).
▪ Artificial Intelligence (AI)-related controls are primarily administrative and preventative in nature (e.g., policies, standards and procedures & guidelines).
▪ Asset management may be a defined function (e.g., team or department) or assigned as an additional duty to existing IT and/or cybersecurity personnel.

Level 3 Well Defined

Artificial Intelligence and Autonomous Technology (AAT) capabilities are standardized across the entity for applicability to People, Processes, Technologies, Data and/or Facilities (PPTDF) to ensure consistency for Technology Assets, Applications, Services and/or Data (TAASD). Capability criteria associated with this control reasonably expect the following criteria to exist:
▪ Policies and standards associated with AAT domain capabilities are formally documented and centrally-managed by the entity's Governance, Risk & Compliance (GRC) team, or similar function.
▪ Standardized Operating Procedures (SOP) associated with AAT domain capabilities are well-documented and kept current by process owners.
▪ An Artificial Intelligence Governance (AIG) team, or similar function, is appropriately staffed and supported to implement and maintain AAT domain capabilities.
▪ Technology is leveraged to enhance the efficiency and accuracy of AI governance, risk management and compliance operations (e.g., dedicated AI governance platform).
▪ The entity's Governance, Risk & Compliance (GRC) team, or similar function, works with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with AAT domain capabilities to address Minimum Compliance Requirements (MCR) (e.g., applicable statutory, regulatory and/or contractual requirements) and Discretionary Security Requirements (DSR) (e.g., entity-required controls).
▪ An implemented and operational capability exists to prohibit the sale, deployment and/or use of AAT that infer human emotions of an individual based on observed characteristics.

Level 4 Quantitatively Controlled

Utilize SCR-CMM Level 3 criteria definitions:
▪ There are no defined Level 4 criteria, since it is reasonable to assume a quantitatively-controlled process is not necessary to operationalize this control.
▪ While it may be possible to develop “metrics-driven” capabilities for this control, the criteria would be organization-specific to define.

Level 5 Continuously Improving

Utilize SCR-CMM Level 3 or Level 4 (if available) criteria definitions:
▪ There are no defined Level 5 criteria, since it is reasonable to assume a continuously-improving process is not necessary to operationalize this control.
▪ Level 5 capabilities should be considered “world-class” where the control builds on Level 4 capabilities, but are continuously improving through Artificial Intelligence (AI) and/or Machine Learning (ML) technologies.
▪ While it may be possible to develop responsive capabilities for this control through the use of AI and/or ML technologies, the criteria would be organization-specific to define.
SCF Biometric Categorization

Description

Mechanisms exist to prohibit the sale, deployment and/or use of Artificial Intelligence (AI) and Autonomous Technologies (AAT) that categorize an individual based on their biometric data to deduce, or infer, the individual's:
(1) Race;
(2) Political opinions;
(3) Trade union membership;
(4) Religious or philosophical beliefs;
(5) Sex life or sexual orientation; and/or
(6) Age.

Possible Solutions & Considerations

Micro-Small Business (<10 staff) / BLS Firm Size Classes 1-2

∙ Policy prohibiting biometric categorization AI tools

Small Business (10-49 staff) / BLS Firm Size Classes 3-4

∙ AI acceptable use policy prohibiting biometric categorization

Medium Business (50-249 staff) / BLS Firm Size Classes 5-6

∙ Formal prohibition on biometric categorization AI

Large Business (250-999 staff) / BLS Firm Size Classes 7-8

∙ AI ethics program with formal prohibition
∙ Legal review for biometric technologies

Enterprise (> 1,000 staff) / BLS Firm Size Class 9

∙ Enterprise AI ethics and privacy framework
∙ Regulatory compliance (EU AI Act, GDPR)
∙ Technical controls

SCR-CMM

Level 0 Not Performed

Practices are non-existent, based on the inability to demonstrate an implemented and operational capability. A reasonable person would conclude the control is not being performed.

Level 1 Performed Informally

Artificial Intelligence and Autonomous Technology (AAT) domain capabilities are ad hoc and inconsistent. Capability criteria associated with this control may include:
▪ Policies, standards & procedures associated with AAT domain capabilities provide limited coverage due to the depth and breadth of the existing documentation.
▪ AAT-related processes are expected to follow the organization's existing processes (e.g., incident response, asset management, change control and risk assessments).
▪ No formal Governance, Risk & Compliance (GRC) team exists to provide AAT oversight, where the Chief Information Officer (CIO), or similar function, governs technology decisions what is acceptable for AAT within the organization.

Level 2 Planned Tracked

Artificial Intelligence and Autonomous Technology (AAT) capabilities are requirements-driven, but are not standardized across the entity (e.g., local/regional level consistency). Capability criteria associated with this control reasonably expect the following criteria to exist:
▪ Policies and standards associated with AAT domain capabilities are formally documented and centrally-managed by the entity.
▪ Standardized Operating Procedures (SOP) associated with AAT domain capabilities are documented and maintained by process owners.
▪ IT and/or cybersecurity personnel work with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with AAT domain capabilities to address applicable statutory, regulatory and/or contractual requirements for Technology Assets, Applications, Services and/or Data (TAASD).
▪ Artificial Intelligence (AI)-related controls are primarily administrative and preventative in nature (e.g., policies, standards and procedures & guidelines).
▪ Asset management may be a defined function (e.g., team or department) or assigned as an additional duty to existing IT and/or cybersecurity personnel.

Level 3 Well Defined

Artificial Intelligence and Autonomous Technology (AAT) capabilities are standardized across the entity for applicability to People, Processes, Technologies, Data and/or Facilities (PPTDF) to ensure consistency for Technology Assets, Applications, Services and/or Data (TAASD). Capability criteria associated with this control reasonably expect the following criteria to exist:
▪ Policies and standards associated with AAT domain capabilities are formally documented and centrally-managed by the entity's Governance, Risk & Compliance (GRC) team, or similar function.
▪ Standardized Operating Procedures (SOP) associated with AAT domain capabilities are well-documented and kept current by process owners.
▪ An Artificial Intelligence Governance (AIG) team, or similar function, is appropriately staffed and supported to implement and maintain AAT domain capabilities.
▪ Technology is leveraged to enhance the efficiency and accuracy of AI governance, risk management and compliance operations (e.g., dedicated AI governance platform).
▪ The entity's Governance, Risk & Compliance (GRC) team, or similar function, works with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with AAT domain capabilities to address Minimum Compliance Requirements (MCR) (e.g., applicable statutory, regulatory and/or contractual requirements) and Discretionary Security Requirements (DSR) (e.g., entity-required controls).
▪ An implemented and operational capability exists to prohibit the sale, deployment and/or use of AAT that categorize an individual based on their biometric data to deduce, or infer, the individual's:
(1) Race;
(2) Political opinions;
(3) Trade union membership;
(4) Religious or philosophical beliefs;
(5) Sex life or sexual orientation; and/or
(6) Age.

Level 4 Quantitatively Controlled

Utilize SCR-CMM Level 3 criteria definitions:
▪ There are no defined Level 4 criteria, since it is reasonable to assume a quantitatively-controlled process is not necessary to operationalize this control.
▪ While it may be possible to develop “metrics-driven” capabilities for this control, the criteria would be organization-specific to define.

Level 5 Continuously Improving

Utilize SCR-CMM Level 3 or Level 4 (if available) criteria definitions:
▪ There are no defined Level 5 criteria, since it is reasonable to assume a continuously-improving process is not necessary to operationalize this control.
▪ Level 5 capabilities should be considered “world-class” where the control builds on Level 4 capabilities, but are continuously improving through Artificial Intelligence (AI) and/or Machine Learning (ML) technologies.
▪ While it may be possible to develop responsive capabilities for this control through the use of AI and/or ML technologies, the criteria would be organization-specific to define.