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Assessment

Fairness & non-discrimination: what AI regulations require

Bias, algorithmic discrimination, fairness audits.

11 requirements · 11 regulations · 4 checks

Requirements by regulation

EUAI Act1

EX-004

Data and data governance Art. 10

UKUK principles1

UK-03

Fairness Principle 3

CoECoE Convention1

COE-10

Equality and non-discrimination Art. 10

USNIST AI RMF1

MEASURE-2.11

Fairness and bias - as identified in the map function - are evaluated and results are documented. MEASURE

COColorado AI Act1

CO-01

Reasonable care against algorithmic discrimination §6-1-1702(1)

NYCNYC LL 1441

NYC-01

Independent bias audit less than one year old (impact ratios) §20-871(a)(1)

ILIL HB 37731

IL-01

No discriminatory effect, including through proxies 775 ILCS 5/2-102(L)(1)

CANCanada1

CAN-02

Quality assurance, bias testing and human intervention by level DADM §6.3

BRPL 23381

BR-05

Non-discrimination and bias mitigation Arts. 5 III, 18

JPAI Promotion Act1

JP-02

Common principles: human-centric, safety, fairness, privacy, security, transparency, accountability Guidelines, part 2

INTLOECD AI1

OECD-1.2

Human rights, democratic values, fairness, privacy 1.2

Checks in this theme

Most shared first

Code	Check	Used by
CHK-BIAS	Fairness and bias are evaluated and results documented	Canada CoE Convention AI Promotion Act NIST AI RMF OECD AI UK principles Colorado AI Act IL HB 3773 NYC LL 144
VER-004-01	Documented data governance (collection process, bias, quality)	AI Act PL 2338 China GenAI RGPD ISO 42001 Colorado AI Act
VER-028-D-03	Input data sufficiently representative	PL 2338 IL HB 3773
NEW-US-NYC-01	Independent bias audit dated within 12 months	NYC LL 144

Related themes

Prohibited practices Impact assessments Personal data

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