+Članak 5. Zabranjene prakse u području umjetne inteligencije
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Članak 5. Zabranjene prakse u području umjetne inteligencije

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1. Pregled

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Članak 5. 1.

Zabranjuju se sljedeće prakse u području umjetne inteligencije:

(a) 

stavljanje na tržište, stavljanje u upotrebu ili korištenje UI sustava u kojem se primjenjuju subliminalne tehnike kojih osoba nije svjesna ili namjerno manipulativne ili obmanjujuće tehnike s ciljem ili s učinkom bitnog iskrivljavanja ponašanja osobe ili skupine osoba tako da se znatno narušava njihova sposobnost da donesu informiranu odluku, zbog čega donose odluku koju inače ne bi donijele, na način kojim se toj osobi, drugoj osobi ili skupini osoba uzrokuje znatna šteta ili se može razumno očekivati da će se prouzročiti takva šteta;

(b) 

stavljanje na tržište, stavljanje u upotrebu ili korištenje UI sustava koji iskorištava bilo koju slabost fizičke osobe ili određene skupine osoba zbog njihove dobi, invaliditeta ili specifičnog društvenog ili ekonomskog položaja s ciljem ili s učinkom bitnog iskrivljavanja ponašanja te osobe ili osobe koja pripada toj skupini na način kojim se toj osobi ili nekoj drugoj osobi uzrokuje znatna šteta ili se može razumno očekivati da će se prouzročiti takva šteta;

▼M1

(ba) 

stavljanje na tržište, stavljanje u upotrebu ili korištenje UI sustava koji generira ili manipulira realističan slikovni sadržaj, videozapise, audiosadržaje ili sličan materijal u kojima se prikazuju prepoznatljivi intimni dijelovi prepoznatljive fizičke osobe ili prepoznatljiva fizička osoba uključena u seksualno eksplicitne aktivnosti, i to bez dobrovoljnog, specifičnog, informiranog, nedvosmislenog i izričitog pristanka te osobe na takvo generiranje ili manipuliranje;

(bb) 

stavljanje na tržište, stavljanje u upotrebu ili korištenje UI sustava koji generira ili manipulira materijal ili predstavu u smislu članka 2. točaka (c) i (e) Direktive 2011/93/EU, osim ako se u nacionalnom pravu primjenjuje obrana za „protupravno” postupanje;

▼B

(c) 

stavljanje na tržište, stavljanje u upotrebu ili korištenje UI sustava radi evaluacije ili klasifikacije fizičkih osoba ili skupina osoba tijekom određenog razdoblja na temelju njihova društvenog ponašanja ili poznatih, izvedenih ili predviđenih osobnih obilježja ili obilježja ličnosti, pri čemu njihov društveni rejting uzrokuje barem jedno od sljedećeg:

i. 

štetno ili nepovoljno postupanje prema određenim fizičkim osobama ili skupinama osoba u društvenim kontekstima koji nisu povezani s kontekstima u kojima su podaci izvorno generirani ili prikupljeni;

ii. 

štetno ili nepovoljno postupanje prema određenim fizičkim osobama ili skupinama osoba koje je neopravdano ili nerazmjerno njihovu društvenom ponašanju ili njegovoj ozbiljnosti;

(d) 

stavljanje na tržište, stavljanje u upotrebu u tu specifičnu svrhu ili korištenje UI sustava za procjene rizika u pogledu fizičkih osoba kako bi se procijenio ili predvidjeo rizik da će fizička osoba počiniti kazneno djelo, isključivo na temelju izrade profila fizičke osobe ili procjene njezinih osobina i obilježja ličnosti; ta se zabrana ne primjenjuje na UI sustave koji se upotrebljavaju za potporu ljudskoj procjeni uključenosti osobe u kriminalnu aktivnost, koja se već temelji na objektivnim i provjerljivim činjenicama izravno povezanima s kriminalnom aktivnošću;

(e) 

stavljanje na tržište, stavljanje u upotrebu u tu specifičnu svrhu ili korištenje UI sustava koji stvaraju ili proširuju baze podataka za prepoznavanje lica neciljanim prikupljanjem fotografija lica s interneta ili snimki CCTV-a;

(f) 

stavljanje na tržište, stavljanje u upotrebu u tu specifičnu svrhu ili korištenje UI sustava za izvođenje zaključaka o emocijama fizičke osobe na radnome mjestu i u obrazovnim ustanovama, osim ako se UI sustav namjerava staviti u upotrebu ili na tržište iz medicinskih ili sigurnosnih razloga;

(g) 

stavljanje na tržište, stavljanje u upotrebu u tu specifičnu svrhu ili upotreba sustavâ za biometrijsku kategorizaciju u kojima se fizičke osobe pojedinačno kategoriziraju na temelju njihovih biometrijskih podataka kako bi se zaključilo ili izvelo zaključke o njihovoj rasi, političkim mišljenjima, članstvu u sindikatu, vjerskim ili filozofskim uvjerenjima, spolnom životu ili seksualnoj orijentaciji; ta zabrana ne obuhvaća označivanje ili filtriranje zakonito pribavljenih biometrijskih skupova podataka, kao što su slike, na temelju biometrijskih podataka ili kategorizacije biometrijskih podataka u području kaznenog progona;

(h) 

upotreba sustavâ za daljinsku biometrijsku identifikaciju u stvarnom vremenu na javnim mjestima u svrhu kaznenog progona, osim ako je takva upotreba nužna i u mjeri u kojoj je nužna radi jednog od sljedećih ciljeva:

i. 

ciljane potrage za konkretnim žrtvama otmice, trgovine ljudima ili seksualnog iskorištavanja ljudi, kao i potrage za nestalim osobama;

ii. 

sprečavanja konkretne, znatne i izravne prijetnje životu ili tjelesnoj sigurnosti fizičkih osoba ili stvarne i prisutne ili stvarne i predvidljive prijetnje od terorističkog napada;

iii. 

lociranja ili identifikacije osobe osumnjičene za počinjenje kaznenog djela u svrhu vođenja kaznene istrage ili progona ili izvršenja kaznene sankcije za kaznena djela iz Priloga II. za koja je u dotičnoj državi članici zapriječena kazna zatvora ili oduzimanja slobode u maksimalnom trajanju od najmanje četiri godine.

Prvim podstavkom točkom (h) ne dovodi se u pitanje članak 9. Uredbe (EU) 2016/679 kad je riječ o obradi biometrijskih podataka u svrhe koje nisu kazneni progon.
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.
Članak 5. 2.

Upotreba sustavâ za daljinsku biometrijsku identifikaciju u stvarnom vremenu na javnim mjestima u svrhu kaznenog progona radi bilo kojeg od ciljeva iz stavka 1. prvog podstavka točke (h) smije se uvesti u svrhe utvrđene u toj točki samo kako bi se potvrdio identitet konkretno ciljanog pojedinca, pri čemu se uzimaju u obzir sljedeći elementi:

(a) 

priroda situacije zbog koje se pojavila mogućnost upotrebe, osobito težina, vjerojatnost i razmjer štete koja bi nastala da se sustav ne koristi;

(b) 

posljedice upotrebe sustava na prava i slobode svih dotičnih osoba, osobito težina, vjerojatnost i razmjer tih posljedica.

Usto, upotreba sustavâ za daljinsku biometrijsku identifikaciju u stvarnom vremenu na javnim mjestima u svrhu kaznenog progona radi bilo kojeg od ciljeva iz stavka 1. prvog podstavka točke (h) ovog članka mora biti u skladu s potrebnim i razmjernim zaštitnim mjerama i uvjetima korištenja u skladu s nacionalnim pravom kojim se odobrava njihova upotreba, osobito u pogledu vremenskih i zemljopisnih ograničenja i ograničenja u pogledu osoba. Upotrebu sustavâ za daljinsku biometrijsku identifikaciju u stvarnom vremenu na javnim mjestima odobrava se samo ako je tijelo kaznenog progona dovršilo procjenu učinka na temeljna prava kako je predviđeno u članku 27. i registriralo sustav u bazi podataka EU-a u skladu s člankom 49. Međutim, u propisno opravdanim hitnim slučajevima takvi se sustavi mogu početi upotrebljavati bez registracije u bazi podataka EU-a, pod uvjetom da se takva registracija dovrši bez nepotrebne odgode.
Članak 5. 3.
Za potrebe stavka 1. prvog podstavka točke (h) i stavka 2., za svaku upotrebu sustava za daljinsku biometrijsku identifikaciju u stvarnom vremenu na javnim mjestima u svrhu kaznenog progona potrebno je prethodno odobrenje pravosudnog tijela ili neovisnog upravnog tijela čija je odluka obvezujuća iz države članice u kojoj će se sustav upotrebljavati, a koje se izdaje na obrazloženi zahtjev i u skladu s podrobnim pravilima nacionalnog prava iz stavka 5. Međutim, u propisno opravdanim hitnim situacijama takav se sustav može početi upotrebljavati bez odobrenja, pod uvjetom da se takvo odobrenje zatraži bez nepotrebne odgode, a najkasnije u roku od 24 sata. Ako je takvo odobrenje odbijeno, upotreba se smjesta zaustavlja te se svi podaci, kao i rezultati i izlazni podaci te upotrebe odmah odbacuju i brišu.

Nadležno pravosudno tijelo ili neovisno upravno tijelo čija je odluka obvezujuća izdaje odobrenje samo ako je uvjereno, na temelju objektivnih dokaza ili jasnih informacija koje su mu predočene, da je upotreba dotičnog sustava za daljinsku biometrijsku identifikaciju u stvarnom vremenu potrebna za postizanje jednog od ciljeva iz stavka 1. prvog podstavka točke (h) navedenog u zahtjevu i razmjerna tom cilju, a ponajprije ostaje ograničena na ono što je nužno kad je riječ o razdoblju te zemljopisnom i personalnom području primjene. Pri odlučivanju o zahtjevu to tijelo uzima u obzir elemente iz stavka 2. Odluka koja proizvodi negativan pravni učinak na osobu ne smije se donijeti isključivo na temelju izlaznih podataka sustava za daljinsku biometrijsku identifikaciju u stvarnom vremenu.
Članak 5. 4.
Ne dovodeći u pitanje stavak 3., o svakoj upotrebi sustava za daljinsku biometrijsku identifikaciju u stvarnom vremenu na javnim mjestima u svrhu kaznenog progona obavješćuju se relevantno tijelo za nadzor tržišta i nacionalno tijelo za zaštitu podataka u skladu s nacionalnim pravilima iz stavka 5. Obavijest mora sadržavati barem informacije navedene u stavku 6. i ne smije uključivati osjetljive operativne podatke.
Članak 5. 5.
Država članica može odlučiti predvidjeti mogućnost potpunog ili djelomičnog odobravanja upotrebe sustava za daljinsku biometrijsku identifikaciju u stvarnom vremenu na javnim mjestima u svrhu kaznenog progona uz ograničenja i pod uvjetima iz stavka 1. prvog podstavka točke (h) te stavaka 2. i 3. Dotična država članica u svojem nacionalnom pravu utvrđuje potrebna podrobna pravila o podnošenju zahtjeva za odobrenja iz stavka 3., o izdavanju, izvršenju i nadzoru tih odobrenja te izvješćivanju u vezi s njima. U tim se pravilima također određuje za koje se ciljeve iz stavka 1. prvog podstavka točke (h), među ostalim i za koja kaznena djela iz njegove točke (h) podtočke iii., nadležnim tijelima može odobriti upotreba tih sustava u svrhu kaznenog progona. Države članice priopćuju Komisiji ta pravila najkasnije 30 dana nakon njihova donošenja. Države članice mogu, u skladu s pravom Unije, uvesti restriktivnije propise o upotrebi sustavâ za daljinsku biometrijsku identifikaciju.
Članak 5. 6.
Nacionalna tijela za nadzor tržišta i nacionalna tijela za zaštitu podataka država članica koja su obaviještena o upotrebi sustavâ za daljinsku biometrijsku identifikaciju u stvarnom vremenu na javnim mjestima u svrhu kaznenog progona na temelju stavka 4. podnose Komisiji godišnja izvješća o takvoj upotrebi. U tu svrhu Komisija državama članicama i nacionalnim tijelima za nadzor tržišta i zaštitu podataka dostavlja predložak, uključujući informacije o broju odluka koje su nadležna pravosudna tijela ili neovisno upravno tijelo čija je odluka obvezujuća donijeli na temelju zahtjevâ za izdavanje odobrenja u skladu sa stavkom 3. i njihov rezultat.
Članak 5. 7.
Komisija objavljuje godišnja izvješća o upotrebi sustavâ za daljinsku biometrijsku identifikaciju u stvarnom vremenu na javnim mjestima u svrhu kaznenog progona na temelju agregiranih podataka u državama članicama i godišnjih izvješća iz stavka 6. Ta godišnja izvješća ne smiju uključivati osjetljive operativne podatke o povezanim aktivnostima kaznenog progona.
Članak 5. 8.
Ovaj članak ne utječe na zabrane koje se primjenjuju ako se praksom u području umjetne inteligencije krši drugo pravo Unije.

1.1 Reference

1.2 Utvrđeni zahtjevi

1.3 Povezani standardi

2. Utvrđeni zahtjevi

Zahtjevi

3. Povezani standardi

Standardi
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.