+Článek 5 Zakázané postupy v oblasti AI
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Článek 5 Zakázané postupy v oblasti AI

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1. Přehled

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Článek 5 1.

Zakazují se následující postupy v oblasti AI:

a) 

uvádění na trh, uvádění do provozu nebo používání systémů AI, které využívají podprahových technik mimo vědomí osob nebo záměrně manipulativních či klamavých technik, jejichž cílem nebo důsledkem je podstatné narušení chování osoby nebo skupiny osob tím, že znatelně zhoršují jejich schopnost učinit informované rozhodnutí, což vede k tomu, že přijmou rozhodnutí, které by jinak neučinily, což dotčené osobě, jiné osobě nebo skupině osob způsobuje nebo by s přiměřenou pravděpodobností mohlo způsobit významnou újmu;

b) 

uvádění na trh, uvádění do provozu nebo používání systémů AI, které využívají zranitelnosti fyzické osoby nebo určité skupiny osob v důsledku jejich věku, zdravotního postižení nebo specifické sociální nebo ekonomické situace a jejichž cílem nebo důsledkem je podstatné narušení chování této osoby nebo osoby náležející k této skupině tak, že to dotčené osobě nebo jiné osobě způsobuje nebo by s přiměřenou pravděpodobností mohlo způsobit významnou újmu;

▼M1

ba) 

uvádění na trh, uvádění do provozu nebo používání systémů AI, které vytvářejí realistický obrazový, filmový, zvukový či podobný materiál zobrazující intimní partie identifikovatelné fyzické osoby nebo identifikovatelnou fyzickou osobu účastnící se explicitně zobrazených sexuálních aktivit nebo které s takovým materiálem manipulují, aniž by dotčená osoba poskytla s vytvářením tohoto materiálu či s manipulací s ním svobodný, konkrétní, informovaný, jednoznačný a výslovný souhlas;

bb) 

uvádění na trh, uvádění do provozu nebo používání systémů AI, které vytvářejí materiál či představení ve smyslu čl. 2 písm. c) a e) směrnice 2011/93/EU nebo s nimi manipulují, s výjimkou případů, kdy se podle vnitrostátního práva uplatňuje okolnost vylučující protiprávnost;

▼B

c) 

uvádění na trh, uvádění do provozu nebo používání systémů AI pro hodnocení nebo klasifikace fyzických osob nebo skupin osob v určitém časovém úseku na základě jejich sociálního chování nebo známých, odvozených nebo předvídaných osobních či osobnostních vlastností, přičemž výsledný sociální kredit vede k jednomu nebo oběma následujícím důsledkům:

i) 

ke znevýhodňujícímu nebo nepříznivému zacházení s některými fyzickými osobami nebo skupinami osob v sociálních kontextech nesouvisejících s kontextem, ve kterém byly dané údaje původně vytvořeny nebo shromážděny;

ii) 

ke znevýhodňujícímu nebo nepříznivému zacházení s některými fyzickými osobami nebo skupinami těchto osob, které je neodůvodněné nebo nepřiměřené jejich sociálnímu chování nebo jeho závažnosti;

d) 

uvádění na trh, uvádění do provozu pro tento konkrétní účel nebo používání systémů AI pro posuzování rizik fyzických osob s cílem posoudit nebo předvídat riziko, že fyzická osoba spáchá trestný čin, a to výhradně na základě profilování fyzické osoby nebo posouzení jejích osobnostních znaků a vlastností; tento zákaz se nevztahuje na systémy AI používané na podporu lidského posouzení zaměřeného na zapojení osoby do trestné činnosti, které je již založeno na objektivních a ověřitelných skutečnostech přímo souvisejících s trestnou činností;

e) 

uvádění na trh, uvádění do provozu pro tento konkrétní účel nebo používání systémů AI, které vytvářejí nebo rozšiřují databáze rozpoznávání obličeje prostřednictvím necíleného získávání zobrazení obličeje z internetu nebo kamerových záznamů;

f) 

uvádění na trh, uvádění do provozu pro tento konkrétní účel nebo používání systémů AI s cílem odvodit emoce fyzické osoby na pracovišti a ve vzdělávacích institucích, s výjimkou případů, kdy je použití systému AI určeno k zavedení či k uvedení na trh z lékařských nebo bezpečnostních důvodů;

g) 

uvádění na trh, uvádění do provozu pro tento konkrétní účel nebo používání systémů biometrické kategorizace, které jednotlivě kategorizují fyzické osoby na základě jejich biometrických údajů za účelem dovození nebo odvození jejich rasy, politických názorů, členství v odborových organizacích, náboženského nebo filozofického přesvědčení, sexuálního života nebo sexuální orientace; tento zákaz se nevztahuje na označování nebo filtrování legálně získaných souborů biometrických údajů, jako jsou snímky, na základě biometrických údajů nebo kategorizace biometrických údajů v oblasti vymáhání práva;

h) 

používání systémů biometrické identifikace na dálku v reálném čase ve veřejně přístupných prostorech pro účely vymáhání práva, pokud to není nezbytně nutné pro jeden z následujících cílů, a jen v nezbytně nutné míře:

i) 

cílené vyhledávání určitých obětí únosů, obchodování s lidmi nebo sexuálního vykořisťování lidí, jakož i vyhledávání pohřešovaných osob;

ii) 

prevence konkrétního, závažného a bezprostředního ohrožení života nebo fyzické bezpečnosti fyzických osob nebo skutečného a bezprostředního či skutečného a předvídatelného teroristického útoku;

iii) 

lokalizace nebo identifikace osoby podezřelé ze spáchání trestného činu, za účelem trestního vyšetřování, stíhání nebo výkonu trestu za trestné činy uvedené v příloze II, za něž lze v dotčeném členském státě uložit trest odnětí svobody nebo ochranné opatření spojené s odnětím osobní svobody v maximální délce nejméně čtyři roky.

Prvním pododstavcem písm. h) není dotčen článek 9 nařízení (EU) 2016/679, pokud jde o zpracování biometrických údajů pro jiné účely, než je vymáhání práva.
Článek 5 1a.

Pro účely odst. 1 prvního pododstavce písm. ba) a bb):

a) 

uvádění na trh nebo uvádění do provozu systémů AI, které vytvářejí materiál či představení uvedené v odst. 1 prvním pododstavci písm. ba) nebo bb) nebo s nimi manipulují, je zakázáno pouze tehdy, pokud:

i) 

vytváření takového materiálu či představení nebo manipulace s nimi jsou zamýšleným účelem daného systému AI nebo

ii) 

vzhledem ke svému návrhu, trénování, architektuře, schopnostem nebo funkcím zaměřeným na uživatele je takové vytváření nebo manipulace důvodně předvídatelným a reprodukovatelným výsledkem, aniž by byla nutná významná technická úprava, a systém nemá přiměřená a odpovídající technická bezpečnostní opatření a jiné záruky, které by, s přihlédnutím k důvodně předvídatelnému zneužití takového vytváření či manipulace, spolehlivě bránily takovému vytváření či manipulaci a zjištěné nebo oznámené zneužití opravovaly;

b) 

používání systémů AI, které vytvářejí materiál nebo představení uvedené v odst. 1 prvním pododstavci písm. ba) a bb) nebo s nimi manipulují, je zakázáno pouze tehdy, pokud zavádějící subjekt používá tento systém za účelem vytváření tohoto materiálu nebo představení či manipulace s nimi.
Článek 5 1b.
Pro účely odst. 1 prvního pododstavce písm. ba) se za manipulaci nepovažuje situace, kdy systém AI manipuluje s materiálem způsobem, který nezvyšuje expozici jakýchkoli vyobrazených intimních partií ani nemění povahu explicitně zobrazovaných sexuálních aktivit.
Článek 5 2.

Používání systémů biometrické identifikace na dálku v reálném čase ve veřejně přístupných prostorech pro účely vymáhání práva pro některý z cílů uvedených v odst. 1 prvním pododstavci písm. h) se zavede pro účely stanovené v daném ustanovení pouze k potvrzení totožnosti konkrétně cílené fyzické osoby a zohlední tyto prvky:

a) 

povahu situace, která vede k jejich potenciálnímu použití, zejména závažnost, pravděpodobnost a rozsah újmy, která by byla způsobena v případě, že by systém použit nebyl;

b) 

důsledky používání systému pro práva a svobody všech dotčených osob, zejména závažnost, pravděpodobnost a rozsah těchto důsledků.

Použití systémů biometrické identifikace na dálku v reálném čase ve veřejně přístupných prostorech pro účely vymáhání práva pro dosažení kteréhokoli z cílů uvedených v odst. 1 prvním pododstavci písm. h) tohoto článku musí být navíc v souladu s nezbytnými a přiměřenými zárukami a podmínkami ve vztahu k použití podle vnitrostátního práva, jež použití takových systémů povoluje, zejména pokud jde o časová, zeměpisná a osobní omezení. Používání systému biometrické identifikace na dálku v reálném čase ve veřejně přístupných prostorech je povoleno pouze v případě, že donucovací orgán dokončil posouzení dopadů na základní práva podle článku 27 a zaregistroval systém v databázi EU podle článku 49. V řádně odůvodněných naléhavých případech však může být používání těchto systémů zahájeno bez registrace v databázi EU, pokud je tato registrace provedena bez zbytečného odkladu.
Článek 5 3.
Pro účely odst. 1 prvního pododstavce písm. h) a odstavce 2 každé použití systému biometrické identifikace na dálku v reálném čase ve veřejně přístupných prostorech pro účely vymáhání práva podléhá předchozímu povolení ze strany justičního orgánu nebo nezávislého správního orgánu, jehož rozhodnutí je závazné a jenž se nachází v členském státě, ve kterém má k tomuto použití dojít, přičemž toto povolení je vydáno na základě odůvodněné žádosti a v souladu s podrobnými pravidly vnitrostátního práva uvedenými v odstavci 5. V řádně odůvodněné naléhavé situaci však může být používání systému zahájeno bez povolení za předpokladu, že se o takové povolení požádá bez zbytečného odkladu, nejpozději do 24 hodin. Je-li takové povolení zamítnuto, použití se s okamžitým účinkem zastaví a veškeré údaje, jakož i výsledky a výstupy tohoto použití se okamžitě vyřadí a vymažou.

Příslušný justiční orgán nebo nezávislý správní orgán, jehož rozhodnutí je závazné, udělí povolení pouze v případě, že je na základě objektivních důkazů nebo jednoznačných údajů, které mu byly předloženy, přesvědčen, že použití dotčeného systému biometrické identifikace na dálku v reálném čase je nezbytné a přiměřené k dosažení jednoho z cílů specifikovaných v odst. 1 prvním pododstavci písm. h), který je uveden v žádosti, a zejména je omezeno na to, co je nezbytně nutné, pokud jde o dobu, jakož i zeměpisný a osobní rozsah. Při rozhodování o žádosti zohlední tento orgán skutečnosti uvedené v odstavci 2. Výlučně na základě výstupu systému biometrické identifikace na dálku v reálném čase nelze přijmout žádné rozhodnutí, které má pro určitou osobu nepříznivé právní účinky.
Článek 5 4.
Aniž je dotčen odstavec 3, každé použití systému biometrické identifikace na dálku v reálném čase na veřejně přístupných prostorech se pro účely vymáhání práva oznámí příslušnému orgánu dozoru nad trhem a vnitrostátnímu orgánu pro ochranu osobních údajů v souladu s vnitrostátními pravidly uvedenými v odstavci 5. Oznámení obsahuje přinejmenším informace uvedené v odstavci 6 a nezahrnuje citlivé operativní údaje.
Článek 5 5.
Členský stát se může rozhodnout, že umožní plně nebo částečně povolit používání systémů biometrické identifikace na dálku v reálném čase na veřejně přístupných prostorech pro účely vymáhání práva v mezích a za podmínek uvedených v odst. 1 prvním pododstavci písm. h) a v odstavcích 2 a 3. Dotčené členské státy ve svém vnitrostátním právu stanoví nezbytná podrobná pravidla upravující žádosti o povolení uvedená v odstavci 3, vydávání a výkon těchto povolení, jakož i dohled nad nimi a podávání zpráv o nich. Tato pravidla rovněž stanoví, ve vztahu ke kterému cíli uvedenému v odst. 1 prvním pododstavci písm. h) a ke kterému trestnému činu uvedenému v písm. h) bodu iii) tohoto odstavce lze příslušným orgánům používání těchto systémů pro účely vymáhání práva povolit. Členské státy tato pravidla nejpozději 30 dnů po jejich přijetí oznámí Komisi. Členské státy mohou v souladu s právem Unie zavést přísnější právní předpisy týkající se používání systémů biometrické identifikace na dálku.
Článek 5 6.
Vnitrostátní orgány dozoru nad trhem a vnitrostátní orgány pro ochranu osobních údajů členských států, které byly informovány o používání systémů biometrické identifikace na dálku v reálném čase ve veřejně přístupných prostorech pro účely vymáhání práva podle odstavce 4, předkládají Komisi ohledně tohoto používání výroční zprávy. Za tímto účelem poskytne Komise členským státům a vnitrostátním orgánům dozoru nad trhem a orgánům pro ochranu osobních údajů vzor, včetně informací o počtu rozhodnutí přijatých příslušnými justičními orgány nebo nezávislým správním orgánem, jejichž rozhodnutí je v případě žádostí o povolení v souladu s odstavcem 3 závazné, a o jejich výsledku.
Článek 5 7.
Pro účely vymáhání práva Komise zveřejňuje výroční zprávy o používání systémů biometrické identifikace na dálku v reálném čase ve veřejně přístupných prostorech, a to na základě souhrnných údajů o členských státech vycházejících z výročních zpráv podle odstavce 6. Tyto výroční zprávy neobsahují citlivé operativní údaje o souvisejících činnostech v oblasti vymáhání práva.
Článek 5 8.
Tímto článkem nejsou dotčeny zákazy, které se použijí v případě, že postupy AI porušují jiné právo Unie.

1.1 Odkazy

1.2 Identifikované požadavky

1.3 Související standardy

2. Identifikované požadavky

Požadavky

3. Související standardy

Standardy
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.