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Responsible AI

What is Responsible AI?

The practice of developing and deploying AI systems in a manner that is ethical, transparent, accountable, and aligned with human values and societal norms. Responsible AI encompasses fairness, privacy, safety, and sustainability.

AI & Technology

Each of these is named in at least one of the same controls as responsible ai. The number is how many controls name both.

What the standards actually require on responsible ai

Requirements naming responsible ai across 6 standards, quoted from the control text.

IEEE 70002 controls

Clauses 8 + 8.1 + 8.2 establish ethical risk management and Clause 10 establishes validation of ethical outcomes. Per public IEEE 7000-2021 abstract + Wikipedia + academic literature (full IEEE text NOT reproduced): ethical risk identification covering: harm t...

IEEE7000-EthicalRisk-Identification-Analysis-Treatment-ValidationOutcomes · IEEE 7000 Clauses 8 + 8.1 + 8.2 - Ethical Risk Identification + Analysis + Treatment + Validation of Ethical Outcomes + AI Safety + Robustness + Adversarial Protection

Safety (Anzen 安全) is the second of 10 Principles per Japan AI Guidelines for Business + significantly extended by establishment of the Japan AI Safety Institute (AISI 日本AIセーフティ・インスティテュート) on 14 February 2024.

JP-AIG-Safety-Validation-Testing-Robustness-AISI-AI-Safety-Institute-Pre-Deployment-Evaluation-Red-Teaming · Japan AI Guidelines Safety + Validation + Testing + Robustness + AISI AI Safety Institute (14 Feb 2024) + Pre-Deployment Evaluation + Red Teaming + Capability Evaluations + AI Incident Database + Safe Deployment + AI Safety Reports

HL7 FHIR Coordination + 2024-2025 pipeline. COORDINATION WITH US REGULATORY FRAMEWORKS: (1) HIPAA PRIVACY + SECURITY RULES (45 CFR Parts 160 + 164, VERIFIED SEPARATELY) - foundational US healthcare privacy + security law;

HL7-FHIR-Coord-HIPAA-ONC-Cures-USCDI-TEFCA · HL7 FHIR Coordination with HIPAA, ONC Information Blocking, 21st Century Cures Act, USCDI, TEFCA + 2024-2025 Pipeline

Requirements and specifications shall be defined for new or substantially modified AI systems, including responsible AI requirements.

iso-iec-42001-2023::A.6.2.2 · AI system requirements and specification

Operate LLM governance + inventory + risk + change management. Requirements include (a) maintain inventory of LLM systems + models + datasets + tools + agents + integrations + (b) maintain risk assessment + classification per LLM system aligned to applicable r...

OWASPLLM-7 · LLM Governance, Inventory, Risk and Change Management

The Texas Responsible AI Governance Act (TRAIGA, effective Jan 2026) interacts with TDPSA profiling and sensitive data provisions. Controllers using AI for consequential decisions must align TDPSA DPIAs with TRAIGA impact assessments and disclosure requirement...

TDPSA-541-AI-CROSS · AI Cross-Reference (TRAIGA and Profiling)

Questions people ask about responsible ai

What is Responsible AI?
The practice of developing and deploying AI systems in a manner that is ethical, transparent, accountable, and aligned with human values and societal norms. Responsible AI encompasses fairness, privacy, safety, and sustainability.
Why is Responsible AI important for compliance?
Responsible AI is a key concept in AI & Technology. Understanding responsible ai helps organizations meet regulatory requirements, reduce risk, and demonstrate due diligence during audits. Our compliance platform maps 686 frameworks with 311K cross-framework control mappings.
Which compliance frameworks address Responsible AI?
Responsible AI appears in the requirement text of IEEE 7000, Japan AI Guidelines, HL7 FHIR Security Framework, ISO/IEC 42001:2023, OWASP Top 10 for LLM Applications 2025. Across these standards we have identified 8 controls that name it directly, each linked to the control text on the compliance platform.
Where can I learn more about Responsible AI?
Explore our compliance framework pages to see how responsible ai applies across different standards and regulations. Our implementation guides provide step-by-step guidance, and the compliance platform offers AI-powered analysis of how this concept maps across 686 frameworks.

See how Responsible AI applies across compliance frameworks

Our platform maps 686 frameworks with 311K cross-framework control mappings. Explore how this concept is addressed across standards.

Written and maintained by Gerard Blokdyk, The Art of Service.