Laws · Regulations · Guidance · Standards · Frameworks

Start with the authoritative source.

Find AI laws, regulations, regulatory guidance, standards and frameworks. Understand their status, scope and relevance before translating them into governance and lifecycle controls.

Know the authority, status and version before using a source.

Source facts and practitioner analysis are kept separate

Each library entry identifies the authoritative source, authority, source type, status, scope, version or edition and official link before presenting RegulatedAI.in practitioner analysis.

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Source category

Cross-lifecycle topic

36 source records shown

Legal and treaty instruments

Primary legal and treaty records. Applicability depends on the source-native jurisdiction, role, scope, timing and other defined conditions.

European Union

EU Artificial Intelligence Act, Regulation (EU) 2024/1689, current consolidated text

Law / RegulationConsolidated text current as of 27 Jul 2026

Record ID: R01

Source facts

Issuing authority: European Union
Source type: Law / Regulation
Status / treatment: Consolidated text current as of 27 Jul 2026
Last verified: 30 August 2026

Open official source

RegulatedAI.in practitioner analysis

Primary relevance: Cross-sector EU AI obligations; QMS under Article 17; lifecycle controls across high-risk/GPAI and other applicable provisions
Applicability boundary: Relevance does not establish applicability. Confirm the source-native scope, role, jurisdiction, timing and user context before relying on this mapping.

Original RegulatedAI.in analysis · not source wording

Council of Europe

Council of Europe Framework Convention on Artificial Intelligence and Human Rights, Democracy and the Rule of Law (CETS No. 225)

International treaty frameworkOpen for signature; entry-into-force condition not yet met as of 30 Aug 2026

Record ID: R03

Source facts

Issuing authority: Council of Europe
Source type: International treaty framework
Status / treatment: Open for signature; entry-into-force condition not yet met as of 30 Aug 2026
Last verified: 30 August 2026

Open official source

RegulatedAI.in practitioner analysis

Primary relevance: Human rights, democracy and rule-of-law lifecycle risk/impact framework
Applicability boundary: Relevance does not establish applicability. Confirm the source-native scope, role, jurisdiction, timing and user context before relying on this mapping.

Original RegulatedAI.in analysis · not source wording

State of Colorado

Colorado Artificial Intelligence / Automated Decision-Making Technology law framework (current post-SB26-189 position)

State lawCurrent law requires exact official-title/status display from the enacted text

Record ID: R04

Source facts

Issuing authority: State of Colorado
Source type: State law
Status / treatment: Current law requires exact official-title/status display from the enacted text
Last verified: 30 August 2026

Open official source

RegulatedAI.in practitioner analysis

Primary relevance: Consequential-decision automated decision-making obligations; keep state-law record source-native
Applicability boundary: Relevance does not establish applicability. Confirm the source-native scope, role, jurisdiction, timing and user context before relying on this mapping.

Original RegulatedAI.in analysis · not source wording

State of Texas

Texas Responsible Artificial Intelligence Governance Act (HB 149)

State lawEffective 1 Jan 2026

Record ID: R05

Source facts

Issuing authority: State of Texas
Source type: State law
Status / treatment: Effective 1 Jan 2026
Last verified: 30 August 2026

Open official source

RegulatedAI.in practitioner analysis

Primary relevance: Texas AI governance/prohibited-use/transparency framework; use official enacted text for detailed obligations
Applicability boundary: Relevance does not establish applicability. Confirm the source-native scope, role, jurisdiction, timing and user context before relying on this mapping.

Original RegulatedAI.in analysis · not source wording

State of California

Transparency in Frontier Artificial Intelligence Act (SB 53)

State lawEnacted 2025

Record ID: R06

Source facts

Issuing authority: State of California
Source type: State law
Status / treatment: Enacted 2025
Last verified: 30 August 2026

Open official source

RegulatedAI.in practitioner analysis

Primary relevance: Frontier-model safety/transparency obligations; specialist source, not a general AI law
Applicability boundary: Relevance does not establish applicability. Confirm the source-native scope, role, jurisdiction, timing and user context before relying on this mapping.

Original RegulatedAI.in analysis · not source wording

State of New York

Responsible AI Safety and Education Act (RAISE Act)

State lawSigned Dec 2025; effective timing to be displayed from enacted text

Record ID: R07

Source facts

Issuing authority: State of New York
Source type: State law
Status / treatment: Signed Dec 2025; effective timing to be displayed from enacted text
Last verified: 30 August 2026

Open official source

RegulatedAI.in practitioner analysis

Primary relevance: Frontier AI developer safety/security obligations; specialist source
Applicability boundary: Relevance does not establish applicability. Confirm the source-native scope, role, jurisdiction, timing and user context before relying on this mapping.

Original RegulatedAI.in analysis · not source wording

US FDA / eCFR

21 CFR Part 11 - Electronic Records; Electronic Signatures

Federal regulationCurrent regulation; verify eCFR current text at use

Record ID: R35

Source facts

Issuing authority: US FDA / eCFR
Source type: Federal regulation
Status / treatment: Current regulation; verify eCFR current text at use
Last verified: 30 August 2026

Open official source

RegulatedAI.in practitioner analysis

Primary relevance: Supporting electronic-record/e-signature requirements where applicable
Applicability boundary: Relevance does not establish applicability. Confirm the source-native scope, role, jurisdiction, timing and user context before relying on this mapping.

Original RegulatedAI.in analysis · not source wording

Official resources, guidance and frameworks

Government and intergovernmental implementation resources, guidance and cross-sector risk or assurance frameworks, distinguished from legal text.

European Commission / AI Office

AI Act Single Information Platform / AI Act Service Desk

Official implementation resourceOperational

Record ID: R02

Source facts

Issuing authority: European Commission / AI Office
Source type: Official implementation resource
Status / treatment: Operational
Last verified: 30 August 2026

Open official source

RegulatedAI.in practitioner analysis

Primary relevance: Official navigation, Explorer, compliance-support tools and implementation information; not itself the legal text
Applicability boundary: Relevance does not establish applicability. Confirm the source-native scope, role, jurisdiction, timing and user context before relying on this mapping.

Original RegulatedAI.in analysis · not source wording

UK Department for Science, Innovation and Technology

Implementing the UK's AI regulatory principles: initial guidance for regulators

Government guidancePublished 6 Feb 2024; voluntary guidance for regulators

Record ID: R08

Source facts

Issuing authority: UK Department for Science, Innovation and Technology
Source type: Government guidance
Status / treatment: Published 6 Feb 2024; voluntary guidance for regulators
Last verified: 30 August 2026

Open official source

RegulatedAI.in practitioner analysis

Primary relevance: UK cross-sector principles-based regulatory context
Applicability boundary: Relevance does not establish applicability. Confirm the source-native scope, role, jurisdiction, timing and user context before relying on this mapping.

Original RegulatedAI.in analysis · not source wording

NIST

NIST Artificial Intelligence Risk Management Framework (AI RMF 1.0)

Government frameworkPublished Jan 2023; NIST states AI RMF 1.0 is being revised

Record ID: R09

Source facts

Issuing authority: NIST
Source type: Government framework
Status / treatment: Published Jan 2023; NIST states AI RMF 1.0 is being revised
Last verified: 30 August 2026

Open official source

RegulatedAI.in practitioner analysis

Primary relevance: Cross-sector governance, mapping, measurement and management of AI risk
Applicability boundary: Relevance does not establish applicability. Confirm the source-native scope, role, jurisdiction, timing and user context before relying on this mapping.

Original RegulatedAI.in analysis · not source wording

NIST

NIST AI RMF Generative Artificial Intelligence Profile, NIST AI 600-1

Government framework/profilePublished Jul 2024; updated publication page Apr 2026

Record ID: R10

Source facts

Issuing authority: NIST
Source type: Government framework/profile
Status / treatment: Published Jul 2024; updated publication page Apr 2026
Last verified: 30 August 2026

Open official source

RegulatedAI.in practitioner analysis

Primary relevance: Generative-AI-specific risk considerations mapped to AI RMF
Applicability boundary: Relevance does not establish applicability. Confirm the source-native scope, role, jurisdiction, timing and user context before relying on this mapping.

Original RegulatedAI.in analysis · not source wording

UK Department for Science, Innovation and Technology / Government Digital Service

Introduction to AI assurance

Government practitioner guidancePublished 2024; current government guidance resource

Record ID: R11

Source facts

Issuing authority: UK Department for Science, Innovation and Technology / Government Digital Service
Source type: Government practitioner guidance
Status / treatment: Published 2024; current government guidance resource
Last verified: 30 August 2026

Open official source

RegulatedAI.in practitioner analysis

Primary relevance: Assurance concepts and techniques; practitioner education
Applicability boundary: Relevance does not establish applicability. Confirm the source-native scope, role, jurisdiction, timing and user context before relying on this mapping.

Original RegulatedAI.in analysis · not source wording

Standards and technical references

Bibliographic records and original RegulatedAI.in summaries only. Protected standards clauses, tables and definitions are not reproduced.

ISO/IEC

ISO/IEC 42001:2023 - Artificial intelligence - Management system

International StandardPublished, Edition 1

Record ID: R12

Source facts

Issuing authority: ISO/IEC
Source type: International Standard
Status / treatment: Published, Edition 1
Last verified: 30 August 2026

Open official source

RegulatedAI.in practitioner analysis

Primary relevance: AI management system governance, policy, objectives, risk/opportunity and continual improvement
Applicability boundary: Relevance does not establish applicability. Confirm the source-native scope, role, jurisdiction, timing and user context before relying on this mapping.

Original RegulatedAI.in analysis · not source wording

ISO/IEC

ISO/IEC 23894:2023 - Artificial intelligence - Guidance on risk management

International StandardPublished, Edition 1

Record ID: R13

Source facts

Issuing authority: ISO/IEC
Source type: International Standard
Status / treatment: Published, Edition 1
Last verified: 30 August 2026

Open official source

RegulatedAI.in practitioner analysis

Primary relevance: AI-specific risk-management guidance across organisations that develop, produce, deploy or use AI
Applicability boundary: Relevance does not establish applicability. Confirm the source-native scope, role, jurisdiction, timing and user context before relying on this mapping.

Original RegulatedAI.in analysis · not source wording

ISO/IEC

ISO/IEC 5338:2023 - Artificial intelligence - AI system life cycle processes

International StandardPublished, Edition 1

Record ID: R14

Source facts

Issuing authority: ISO/IEC
Source type: International Standard
Status / treatment: Published, Edition 1
Last verified: 30 August 2026

Open official source

RegulatedAI.in practitioner analysis

Primary relevance: Core AI lifecycle process reference; based on 15288/12207 with AI-specific additions
Applicability boundary: Relevance does not establish applicability. Confirm the source-native scope, role, jurisdiction, timing and user context before relying on this mapping.

Original RegulatedAI.in analysis · not source wording

ISO/IEC

ISO/IEC 22989:2022 - Artificial intelligence concepts and terminology

International StandardPublished, Edition 1

Record ID: R15

Source facts

Issuing authority: ISO/IEC
Source type: International Standard
Status / treatment: Published, Edition 1
Last verified: 30 August 2026

Open official source

RegulatedAI.in practitioner analysis

Primary relevance: Core terminology/definitions reference; do not reproduce substantial protected text
Applicability boundary: Relevance does not establish applicability. Confirm the source-native scope, role, jurisdiction, timing and user context before relying on this mapping.

Original RegulatedAI.in analysis · not source wording

ISO/IEC

ISO/IEC 23053:2022 - Framework for AI systems using machine learning

International StandardPublished, Edition 1

Record ID: R16

Source facts

Issuing authority: ISO/IEC
Source type: International Standard
Status / treatment: Published, Edition 1
Last verified: 30 August 2026

Open official source

RegulatedAI.in practitioner analysis

Primary relevance: Conceptual framework/components/functions for ML-based AI systems
Applicability boundary: Relevance does not establish applicability. Confirm the source-native scope, role, jurisdiction, timing and user context before relying on this mapping.

Original RegulatedAI.in analysis · not source wording

ISO/IEC

ISO/IEC 8183:2023 - Artificial intelligence - Data life cycle framework

International StandardPublished, Edition 1

Record ID: R17Data Lifecycle & Data Quality · cross-lifecycle topic

Source facts

Issuing authority: ISO/IEC
Source type: International Standard
Status / treatment: Published, Edition 1
Last verified: 30 August 2026

Open official source

RegulatedAI.in practitioner analysis

Primary relevance: Cross-lifecycle AI data processing from acquisition through decommissioning
Applicability boundary: Relevance does not establish applicability. Confirm the source-native scope, role, jurisdiction, timing and user context before relying on this mapping.

Original RegulatedAI.in analysis · not source wording

ISO/IEC

ISO/IEC 5259 series - Data quality for analytics and machine learning

International Standards seriesPublished series; Part 1:2024 is foundational

Record ID: R18Data Lifecycle & Data Quality · cross-lifecycle topic

Source facts

Issuing authority: ISO/IEC
Source type: International Standards series
Status / treatment: Published series; Part 1:2024 is foundational
Last verified: 30 August 2026

Open official source

RegulatedAI.in practitioner analysis

Primary relevance: Data quality concepts, measures, management/process/governance across the data lifecycle
Applicability boundary: Relevance does not establish applicability. Confirm the source-native scope, role, jurisdiction, timing and user context before relying on this mapping.

Original RegulatedAI.in analysis · not source wording

ISO/IEC

ISO/IEC TR 24028:2020 - Overview of trustworthiness in artificial intelligence

Technical ReportPublished

Record ID: R19

Source facts

Issuing authority: ISO/IEC
Source type: Technical Report
Status / treatment: Published
Last verified: 30 August 2026

Open official source

RegulatedAI.in practitioner analysis

Primary relevance: Trustworthiness topics including transparency, explainability, controllability, reliability, safety, security and privacy
Applicability boundary: Relevance does not establish applicability. Confirm the source-native scope, role, jurisdiction, timing and user context before relying on this mapping.

Original RegulatedAI.in analysis · not source wording

ISO/IEC

ISO/IEC TR 24027:2021 - Bias in AI systems and AI-aided decision making

Technical ReportPublished

Record ID: R20

Source facts

Issuing authority: ISO/IEC
Source type: Technical Report
Status / treatment: Published
Last verified: 30 August 2026

Open official source

RegulatedAI.in practitioner analysis

Primary relevance: Bias-related vulnerabilities and assessment/treatment across AI lifecycle phases
Applicability boundary: Relevance does not establish applicability. Confirm the source-native scope, role, jurisdiction, timing and user context before relying on this mapping.

Original RegulatedAI.in analysis · not source wording

ISO/IEC/IEEE

ISO/IEC/IEEE 15288:2023 - System life cycle processes

International StandardPublished, Edition 2

Record ID: R21

Source facts

Issuing authority: ISO/IEC/IEEE
Source type: International Standard
Status / treatment: Published, Edition 2
Last verified: 30 August 2026

Open official source

RegulatedAI.in practitioner analysis

Primary relevance: Supporting systems lifecycle reference; does not prescribe a specific lifecycle model
Applicability boundary: Relevance does not establish applicability. Confirm the source-native scope, role, jurisdiction, timing and user context before relying on this mapping.

Original RegulatedAI.in analysis · not source wording

ISO/IEC/IEEE

ISO/IEC/IEEE 12207:2026 - Software life cycle processes

International StandardPublished Apr 2026, Edition 2; 2017 edition withdrawn

Record ID: R22

Source facts

Issuing authority: ISO/IEC/IEEE
Source type: International Standard
Status / treatment: Published Apr 2026, Edition 2; 2017 edition withdrawn
Last verified: 30 August 2026

Open official source

RegulatedAI.in practitioner analysis

Primary relevance: Supporting software lifecycle reference; full lifecycle including acquisition, operation, maintenance and disposal
Applicability boundary: Relevance does not establish applicability. Confirm the source-native scope, role, jurisdiction, timing and user context before relying on this mapping.

Original RegulatedAI.in analysis · not source wording

CEN/CENELEC

EN 18286:2026 — Artificial intelligence — Quality management system for EU AI Act regulatory purposes

European StandardPublished European Standard developed in support of implementation of the EU AI Act. Current European Commission information indicates that assessment toward harmonised-standard treatment is ongoing.

Record ID: R36

Source facts

Issuing authority: CEN/CENELEC
Source type: European Standard
Status / treatment: Published European Standard developed in support of implementation of the EU AI Act. Current European Commission information indicates that assessment toward harmonised-standard treatment is ongoing.
Last verified: 11 September 2026

Open official source

RegulatedAI.in practitioner analysis

Primary relevance: European Union / European standard supporting EU AI Act implementation
Applicability boundary: Relevance does not establish applicability. Confirm the source-native scope, role, jurisdiction, timing and user context before relying on this mapping.

Original RegulatedAI.in analysis · not source wording

Life sciences and healthcare

Selected medical-device, medicinal-product, clinical-trial, GMP and software-assurance sources with draft and consultation status kept visible.

IMDRF

IMDRF/AIML WG/N88 FINAL:2025 - Good machine learning practice for medical device development: Guiding principles

International regulatory-forum technical documentFinal; published 29 Jan 2025

Record ID: R23

Source facts

Issuing authority: IMDRF
Source type: International regulatory-forum technical document
Status / treatment: Final; published 29 Jan 2025
Last verified: 30 August 2026

Open official source

RegulatedAI.in practitioner analysis

Primary relevance: Current principal GMLP record for medical-device ML development. The 2021 FDA/Health Canada/MHRA principles are historical lineage.
Applicability boundary: Relevance does not establish applicability. Confirm the source-native scope, role, jurisdiction, timing and user context before relying on this mapping.

Original RegulatedAI.in analysis · not source wording

FDA + EMA

Guiding Principles of Good AI Practice in Drug Development

Joint regulatory principlesJanuary 2026

Record ID: R24

Source facts

Issuing authority: FDA + EMA
Source type: Joint regulatory principles
Status / treatment: January 2026
Last verified: 30 August 2026

Open official source

RegulatedAI.in practitioner analysis

Primary relevance: Ten principles covering human-centric design, risk, standards, context of use, data governance, performance assessment and lifecycle management
Applicability boundary: Relevance does not establish applicability. Confirm the source-native scope, role, jurisdiction, timing and user context before relying on this mapping.

Original RegulatedAI.in analysis · not source wording

FDA

Considerations for the Use of Artificial Intelligence To Support Regulatory Decision-Making for Drug and Biological Products

Draft regulatory guidanceDraft Level 1 Guidance, Jan 2025; not for implementation

Record ID: R25

Source facts

Issuing authority: FDA
Source type: Draft regulatory guidance
Status / treatment: Draft Level 1 Guidance, Jan 2025; not for implementation
Last verified: 30 August 2026

Open official source

RegulatedAI.in practitioner analysis

Primary relevance: Risk-based credibility assessment framework for AI model use in regulatory decision-making
Applicability boundary: Relevance does not establish applicability. Confirm the source-native scope, role, jurisdiction, timing and user context before relying on this mapping.

Original RegulatedAI.in analysis · not source wording

EMA

Reflection paper on the use of Artificial Intelligence (AI) in the medicinal product lifecycle

Regulatory/scientific reflection paperAdopted; first published 30 Sep 2024

Record ID: R26

Source facts

Issuing authority: EMA
Source type: Regulatory/scientific reflection paper
Status / treatment: Adopted; first published 30 Sep 2024
Last verified: 30 August 2026

Open official source

RegulatedAI.in practitioner analysis

Primary relevance: AI/ML considerations across medicines lifecycle
Applicability boundary: Relevance does not establish applicability. Confirm the source-native scope, role, jurisdiction, timing and user context before relying on this mapping.

Original RegulatedAI.in analysis · not source wording

FDA

Artificial Intelligence-Enabled Device Software Functions: Lifecycle Management and Marketing Submission Recommendations

Draft regulatory guidanceDraft, Jan 2025; not for implementation

Record ID: R27

Source facts

Issuing authority: FDA
Source type: Draft regulatory guidance
Status / treatment: Draft, Jan 2025; not for implementation
Last verified: 30 August 2026

Open official source

RegulatedAI.in practitioner analysis

Primary relevance: AI-enabled device TPLC and marketing-submission recommendations
Applicability boundary: Relevance does not establish applicability. Confirm the source-native scope, role, jurisdiction, timing and user context before relying on this mapping.

Original RegulatedAI.in analysis · not source wording

FDA

Marketing Submission Recommendations for a Predetermined Change Control Plan for Artificial Intelligence-Enabled Device Software Functions

Final regulatory guidanceFinal, Aug 2025

Record ID: R28

Source facts

Issuing authority: FDA
Source type: Final regulatory guidance
Status / treatment: Final, Aug 2025
Last verified: 30 August 2026

Open official source

RegulatedAI.in practitioner analysis

Primary relevance: Predetermined change control planning for AI-enabled device software functions
Applicability boundary: Relevance does not establish applicability. Confirm the source-native scope, role, jurisdiction, timing and user context before relying on this mapping.

Original RegulatedAI.in analysis · not source wording

European Commission / MDCG

MDCG 2025-6 - FAQ on interplay between MDR/IVDR and the Artificial Intelligence Act

Regulatory guidance / FAQPublished 19 Jun 2025

Record ID: R29

Source facts

Issuing authority: European Commission / MDCG
Source type: Regulatory guidance / FAQ
Status / treatment: Published 19 Jun 2025
Last verified: 30 August 2026

Open official source

RegulatedAI.in practitioner analysis

Primary relevance: Interplay of EU medical-device regulations and AI Act
Applicability boundary: Relevance does not establish applicability. Confirm the source-native scope, role, jurisdiction, timing and user context before relying on this mapping.

Original RegulatedAI.in analysis · not source wording

MHRA

Impact of AI on the regulation of medical products

Regulator policy paperPublished/current GOV.UK policy resource

Record ID: R30

Source facts

Issuing authority: MHRA
Source type: Regulator policy paper
Status / treatment: Published/current GOV.UK policy resource
Last verified: 30 August 2026

Open official source

RegulatedAI.in practitioner analysis

Primary relevance: MHRA application of UK AI regulatory principles across medical products
Applicability boundary: Relevance does not establish applicability. Confirm the source-native scope, role, jurisdiction, timing and user context before relying on this mapping.

Original RegulatedAI.in analysis · not source wording

EMA GCP Inspectors Working Group

Guideline on computerised systems and electronic data in clinical trials (EMA/INS/GCP/112288/2023)

Regulatory guidelineFinal adopted 7 Mar 2023

Record ID: R31

Source facts

Issuing authority: EMA GCP Inspectors Working Group
Source type: Regulatory guideline
Status / treatment: Final adopted 7 Mar 2023
Last verified: 30 August 2026

Open official source

RegulatedAI.in practitioner analysis

Primary relevance: Computerised systems/electronic data controls in clinical trials, including AI-related considerations
Applicability boundary: Relevance does not establish applicability. Confirm the source-native scope, role, jurisdiction, timing and user context before relying on this mapping.

Original RegulatedAI.in analysis · not source wording

European Commission / EudraLex Volume 4

EU GMP Annex 11 - Computerised Systems (current effective text)

GMP guideline annexCurrent effective Annex 11; separate revision consultation closed

Record ID: R32

Source facts

Issuing authority: European Commission / EudraLex Volume 4
Source type: GMP guideline annex
Status / treatment: Current effective Annex 11; separate revision consultation closed
Last verified: 30 August 2026

Open official source

RegulatedAI.in practitioner analysis

Primary relevance: Computerised-system lifecycle controls in GMP environments
Applicability boundary: Relevance does not establish applicability. Confirm the source-native scope, role, jurisdiction, timing and user context before relying on this mapping.

Original RegulatedAI.in analysis · not source wording

European Commission

Revision of EU GMP Annex 11 and new Annex 22 Artificial Intelligence - 2025 consultation package

Draft/consultation GMP materialConsultation closed 7 Oct 2025; not final GMP requirements

Record ID: R33

Source facts

Issuing authority: European Commission
Source type: Draft/consultation GMP material
Status / treatment: Consultation closed 7 Oct 2025; not final GMP requirements
Last verified: 30 August 2026

Open official source

RegulatedAI.in practitioner analysis

Primary relevance: Emerging GMP expectations for computerised systems and AI; must be visibly labelled draft/consultation
Applicability boundary: Relevance does not establish applicability. Confirm the source-native scope, role, jurisdiction, timing and user context before relying on this mapping.

Original RegulatedAI.in analysis · not source wording

FDA

Computer Software Assurance for Production and Quality Management System Software

Final regulatory guidanceFinal, Feb 2026; supersedes Sep 2025 final guidance

Record ID: R34

Source facts

Issuing authority: FDA
Source type: Final regulatory guidance
Status / treatment: Final, Feb 2026; supersedes Sep 2025 final guidance
Last verified: 30 August 2026

Open official source

RegulatedAI.in practitioner analysis

Primary relevance: Risk-based software assurance for medical-device production/QMS software
Applicability boundary: Relevance does not establish applicability. Confirm the source-native scope, role, jurisdiction, timing and user context before relying on this mapping.

Source terminology

Review the source-specific terminology in R01, R09, R24, R27.

RegulatedAI.in explanation

Ongoing observation/evaluation; source-specific obligations differ.

Boundary and maintenance

A navigation aid, not an applicability determination.

The issuing authority remains the definitive source. Regulatory status, amendments and effective dates must be reconfirmed before an assessment or implementation decision. A source check confirms the linked record and stated metadata as of 30 August 2026. It does not guarantee that no later controlled source change has occurred.

Report a missing or changed source