+5 artikla Kielletyt tekoälyyn liittyvät käytännöt
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5 artikla Kielletyt tekoälyyn liittyvät käytännöt

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1. Yleiskatsaus

,
5 artikla 1.

Seuraavat tekoälyyn liittyvät käytännöt ovat kiellettyjä:

a) 

sellaisen tekoälyjärjestelmän markkinoille saattaminen, käyttöönotto tai käyttö, jossa käytetään subliminaalisia tekniikoita, joita henkilö ei havaitse tietoisesti, tai tarkoituksellisesti manipuloivia tai harhaanjohtavia tekniikoita, joiden tavoitteena on vääristää tai jotka olennaisesti vääristävät henkilön tai henkilöryhmän käyttäytymistä heikentäen tuntuvasti tämän kykyä tehdä tietoinen päätös ja saaden tämän tekemään päätöksen, jota tämä ei olisi muussa tapauksessa tehnyt, tavalla, joka aiheuttaa tai kohtuullisella todennäköisyydellä aiheuttaa kyseiselle henkilölle, toiselle henkilölle tai henkilöryhmälle merkittävää haittaa;

b) 

sellaisen tekoälyjärjestelmän markkinoille saattaminen, käyttöönotto tai käyttö, jossa hyödynnetään luonnollisen henkilön tai tietyn henkilöryhmän haavoittuvuuksia, jotka liittyvät heidän ikäänsä, vammaansa tai erityiseen sosiaaliseen tai taloudelliseen tilanteeseensa, siten, että tavoitteena tai vaikutuksena on olennaisesti vääristää kyseisen henkilön tai kyseiseen ryhmään kuuluvan henkilön käyttäytymistä tavalla, joka aiheuttaa tai kohtuullisella todennäköisyydellä aiheuttaa kyseiselle henkilölle tai toiselle henkilölle merkittävää haittaa;

▼M1

b a) 

sellaisen tekoälyjärjestelmän markkinoille saattaminen, käyttöönotto tai käyttö, joka tuottaa tai manipuloi todenmukaisia kuvia, videoita, ääntä tai samankaltaista materiaalia tunnistettavissa olevan luonnollisen henkilön intiimialueista tai ilmeisen seksuaaliseen toimintaan osallistuvasta tunnistettavissa olevasta luonnollisesta henkilöstä ilman kyseisen henkilön vapaaehtoista, yksilöityä, tietoista, yksiselitteistä ja nimenomaista suostumusta kyseiseen tuottamiseen tai manipulointiin;

b b) 

sellaisen tekoälyjärjestelmän markkinoille saattaminen, käyttöönotto tai käyttö, joka tuottaa tai manipuloi direktiivin 2011/93/EU 2 artiklan c alakohdassa tarkoitettua aineistoa tai e alakohdassa tarkoitettua esitystä, paitsi jos kansallisen lainsäädännön nojalla sovelletaan ”oikeudetonta tekoa” koskevaa puolustusta;

▼B

c) 

tekoälyjärjestelmien markkinoille saattaminen, käyttöönotto tai käyttö luonnollisten henkilöiden tai henkilöryhmien arvioimiseksi tai luokittelemiseksi tiettynä ajanjaksona heidän sosiaalisen käyttäytymisensä tai tunnettujen, pääteltyjen tai ennakoitujen henkilökohtaisten ominaisuuksiensa tai luonteenpiirteidensä perusteella siten, että sosiaalinen pisteytys johtaa jompaankumpaan tai molempiin seuraavista:

i) 

tiettyjen luonnollisten henkilöiden tai henkilöryhmien haitallinen tai epäedullinen kohtelu sosiaalisissa yhteyksissä, jotka eivät liity siihen asiayhteyteen, jossa tiedot alun perin tuotettiin tai kerättiin;

ii) 

tiettyjen luonnollisten henkilöiden tai henkilöryhmien haitallinen tai epäedullinen kohtelu, joka on perusteetonta tai suhteetonta heidän sosiaaliseen käyttäytymiseensä tai sen vakavuuteen nähden;

d) 

tekoälyjärjestelmän markkinoille saattaminen, käyttöönotto tätä erityistarkoitusta varten tai käyttö luonnollisia henkilöitä koskevien riskinarviointien tekemiseen, jotta voidaan arvioida tai ennustaa sen riskiä, että luonnollinen henkilö syyllistyy rikokseen, kun tämä perustuu yksinomaan luonnollisen henkilön profilointiin tai hänen persoonallisuuspiirteidensä ja persoonallisuusominaisuuksiensa arviointiin; tätä kieltoa ei sovelleta tekoälyjärjestelmiin, joita käytetään tukemaan ihmisen tekemää arviointia jonkun henkilön osallistumisesta rikolliseen toimintaan, kun arvio jo perustuu objektiivisiin ja todennettavissa oleviin tosiseikkoihin, jotka liittyvät suoraan rikolliseen toimintaan;

e) 

sellaisten tekoälyjärjestelmien saattaminen markkinoille, käyttöönotto tähän tiettyyn tarkoitukseen tai käyttö, joilla luodaan tai laajennetaan kasvojentunnistustietokantoja haravoimalla kasvokuvia kohdentamattomasti internetistä tai valvontakamerakuvista;

f) 

tekoälyjärjestelmien markkinoille saattaminen, käyttöönotto tätä tarkoitusta varten tai käyttö luonnollisen henkilön tunteiden päättelemiseksi työpaikalla ja oppilaitoksissa, paitsi jos tekoälyjärjestelmän käyttöä on tarkoitus hyödyntää tai saattaa markkinoille lääketieteellisiin tai turvallisuuteen liittyviin tarkoituksiin;

g) 

sellaisten biometristen luokittelujärjestelmien markkinoille saattaminen, käyttöönotto tätä tiettyä tarkoitusta varten tai sellaisten biometristen luokittelujärjestelmien käyttö, joissa luonnolliset henkilöt luokitellaan heidän biometristen tietojensa perusteella rodun, poliittisten mielipiteiden, ammattiliiton jäsenyyden, uskonnollisen tai filosofisen vakaumuksen, seksuaalisen käyttäytymisen tai seksuaalisen suuntautumisen perusteella; tämä kielto ei koske laillisesti hankittujen biometristen tietoaineistojen, kuten kuvien, merkitsemistä tai suodattamista biometristen tietojen perusteella lainvalvonta-alalla;

h) 

reaaliaikaisten biometristen etätunnistusjärjestelmien käyttö julkisissa tiloissa lainvalvontatarkoituksessa, paitsi jos ja siltä osin kuin se on ehdottoman välttämätöntä jonkin seuraavan tavoitteen saavuttamiseksi:

i) 

kaappauksen, ihmiskaupan ja seksuaalisen hyväksikäytön uhrien kohdennettu etsintä sekä kadonneiden henkilöiden etsiminen;

ii) 

luonnollisten henkilöiden henkeen tai fyysiseen turvallisuuteen kohdistuvan erityisen, merkittävän ja välittömän uhan taikka aidon ja välittömän tai aidon ja ennakoitavissa olevan terrori-iskun uhan ehkäiseminen;

iii) 

rikoksesta epäillyn henkilön paikantaminen tai tunnistaminen liitteessä II tarkoitettujen rikosten tutkintaa tai syytteeseenpanoa tai rikosoikeudellisen seuraamuksen täytäntöönpanoa varten ja joista voi asianomaisessa jäsenvaltiossa seurata vapaudenmenetyksen käsittävä rangaistus tai turvaamistoimenpide, jonka enimmäisaika on vähintään neljä vuotta.

Ensimmäisen alakohdan h alakohta ei rajoita asetuksen (EU) 2016/679 9 artiklan soveltamista, kun kyse on biometristen tietojen käsittelystä muihin tarkoituksiin kuin lainvalvontaan.
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.
5 artikla 2.

Kun reaaliaikaisia biometrisiä etätunnistusjärjestelmiä käytetään julkisissa tiloissa lainvalvontatarkoituksessa minkä tahansa 1 kohdan ensimmäisen alakohdan h alakohdassa tarkoitetun tavoitteen saavuttamiseksi, käytön on tapahduttava kyseisessä kohdassa vahvistettuihin tarkoituksiin ainoastaan erityisesti kohteena olevan henkilön henkilöllisyyden vahvistamiseksi, ja siinä on otettava huomioon seuraavat seikat:

a) 

mahdollisen käytön aiheuttavan tilanteen luonne, erityisesti aiheutuvan vahingon vakavuus, todennäköisyys ja laajuus siinä tapauksessa, että järjestelmää ei käytetä;

b) 

järjestelmän käytön seuraukset kaikkien asianomaisten henkilöiden oikeuksille ja vapauksille, erityisesti näiden seurausten vakavuus, todennäköisyys ja laajuus.

Lisäksi kun reaaliaikaisia biometrisiä etätunnistusjärjestelmiä käytetään julkisissa tiloissa lainvalvontatarkoituksessa minkä tahansa tämän artiklan 1 kohdan ensimmäisen alakohdan h alakohdassa tarkoitetun tavoitteen saavuttamiseksi, on noudatettava käyttöön liittyviä välttämättömiä ja oikeasuhteisia suojatoimia ja edellytyksiä niiden käytön sallivan kansallisen lainsäädännön mukaisesti, erityisesti ajallisia, maantieteellisiä ja henkilötason rajoituksia. Reaaliaikaisen biometrisen etätunnistusjärjestelmän käyttö julkisissa tiloissa sallitaan vain, jos lainvalvontaviranomainen on saattanut päätökseen 27 artiklassa tarkoitetun perusoikeuksia koskevan vaikutustenarvioinnin ja rekisteröinyt järjestelmän EU:n tietokantaan 49 artiklan mukaisesti. Asianmukaisesti perustelluissa kiireellisissä tapauksissa tällaisten järjestelmien käyttö voidaan kuitenkin aloittaa ilman rekisteröintiä EU:n tietokantaan edellyttäen, että rekisteröinti saatetaan päätökseen ilman aiheetonta viivytystä.
5 artikla 3.
Edellä olevan 1 kohdan ensimmäisen alakohdan h alakohdan ja 2 kohdan tarkoituksiin jokainen reaaliaikaisen biometrisen etätunnistusjärjestelmän käyttö lainvalvontatarkoituksessa julkisissa tiloissa edellyttää sen jäsenvaltion, jossa käyttö tapahtuu, sellaisen oikeusviranomaisen tai riippumattoman hallintoviranomaisen, jonka päätös on sitova, myöntämää ennakkolupaa, joka annetaan perustellusta pyynnöstä ja 5 kohdassa tarkoitetun kansallisen lainsäädännön yksityiskohtaisten sääntöjen mukaisesti. Asianmukaisesti perustelluissa kiireellisissä tapauksissa tällaisen järjestelmän käyttö voidaan kuitenkin aloittaa ilman lupaa, kunhan asianmukainen lupa pyydetään ilman aiheetonta viivytystä ja viimeistään 24 tunnin kuluessa. Jos tällainen lupa evätään, käyttö on lopetettava välittömästi ja kaikki tiedot sekä tällaiseen käyttöön liittyvät tulokset ja tuotokset on välittömästi poistettava.

Toimivaltainen oikeusviranomainen tai riippumaton hallintoviranomainen, jonka päätös on sitova, saa myöntää luvan ainoastaan, jos se katsoo sille esitettyjen objektiivisten todisteiden tai selkeiden seikkojen perusteella, että kyseessä oleva reaaliaikaisen biometrisen etätunnistusjärjestelmän käyttö on välttämätöntä ja oikeasuhteista jonkin 1 kohdan ensimmäisen alakohdan h alakohdassa tarkoitetun ja pyynnössä yksilöidyn tavoitteen saavuttamiseksi, ja se rajoittuu erityisesti siihen, mikä on ehdottoman välttämätöntä ajanjakson sekä maantieteellisen ja henkilötason soveltamisalan osalta. Toimivaltaisen viranomaisen on pyyntöä koskevaa päätöstä tehdessään otettava huomioon 2 kohdassa tarkoitetut seikat. Päätöstä, jolla on henkilöön kohdistuvia kielteisiä oikeusvaikutuksia, ei saa tehdä pelkästään reaaliaikaisen biometrisen etätunnistusjärjestelmän tuotosten perusteella.
5 artikla 4.
Jokaisesta reaaliaikaisen biometrisen etätunnistusjärjestelmän käytöstä julkisissa tiloissa lainvalvontatarkoituksiin on ilmoitettava asianomaiselle markkinavalvontaviranomaiselle ja kansalliselle tietosuojaviranomaiselle 5 kohdassa tarkoitettujen kansallisten sääntöjen mukaisesti, sanotun kuitenkaan rajoittamatta 3 kohdan soveltamista. Ilmoituksen on sisällettävä vähintään 6 kohdassa täsmennetyt tiedot, eikä se saa sisältää arkaluonteisia operatiivisia tietoja.
5 artikla 5.
Jäsenvaltio voi päättää säätää mahdollisuudesta sallia kokonaan tai osittain reaaliaikaisten biometristen etätunnistusjärjestelmien käyttö julkisissa tiloissa lainvalvontatarkoituksessa 1 kohdan ensimmäisen alakohdan h alakohdassa sekä 2 ja 3 kohdassa luetelluin rajoituksin ja edellytyksin. Asianomaisten jäsenvaltioiden on vahvistettava kansallisessa lainsäädännössään tarvittavat yksityiskohtaiset säännöt 3 kohdassa tarkoitettujen lupien pyytämistä, myöntämistä ja käyttöä sekä niihin liittyvää valvontaa ja raportointia varten. Näissä säännöissä on myös täsmennettävä, minkä 1 kohdan ensimmäisen alakohdan h alakohdassa lueteltujen tavoitteiden osalta, myös minkä mainitun h alakohdan iii alakohdassa tarkoitettujen rikosten osalta, toimivaltaisille viranomaisille voidaan antaa lupa käyttää kyseisiä järjestelmiä lainvalvontatarkoituksessa. Jäsenvaltioiden on ilmoitettava näistä säännöistä komissiolle viimeistään 30 päivän kuluttua niiden hyväksymisestä. Jäsenvaltiot voivat unionin oikeuden mukaisesti ottaa käyttöön rajoittavampaa lainsäädäntöä biometristen etätunnistusjärjestelmien käytön osalta.
5 artikla 6.
Kansallisten markkinavalvontaviranomaisten ja jäsenvaltioiden kansallisten tietosuojaviranomaisten, joille on 4 kohdan mukaisesti ilmoitettu reaaliaikaisten biometristen etätunnistusjärjestelmien käytöstä julkisissa tiloissa lainvalvontatarkoituksiin, on toimitettava komissiolle vuosittain raportti tällaisesta käytöstä. Tätä varten komissio toimittaa jäsenvaltioille ja kansallisille markkinavalvonta- ja tietosuojaviranomaisille mallin, joka sisältää tiedot sellaisen toimivaltaisen oikeusviranomaisen tai riippumattoman hallintoviranomaisen, joiden päätös on sitova, tekemien päätösten lukumäärästä, jotka koskevat 3 kohdan mukaisia lupapyyntöjä, ja niiden tuloksista.
5 artikla 7.
Komissio julkaisee vuosittaisia raportteja reaaliaikaisten biometristen etätunnistusjärjestelmien käytöstä julkisissa tiloissa lainvalvontatarkoituksiin jäsenvaltioiden yhdistettyjen tietojen nojalla perustuen 6 kohdassa tarkoitettuihin vuosittaisiin raportteihin. Vuosittaisiin raportteihin ei saa sisältyä arkaluonteisia operatiivisia tietoja asiaan liittyvistä lainvalvontatoimista.
5 artikla 8.
Tämä artikla ei vaikuta kieltoihin, joita sovelletaan, jos tekoälyyn liittyvä käytäntö rikkoo muuta unionin oikeutta.

1.1 Viittaukset

1.2 Tunnistetut vaatimukset

1.3 Liittyvät standardit

2. Tunnistetut vaatimukset

Vaatimukset

3. Liittyvät standardit

Standardit
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.