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.
Terms that appear alongside responsible ai
Each of these is named in at least one of the same controls as responsible ai. The number is how many controls name both.
- nist 6 shared controls
- governance 5 shared controls
- eu ai act 4 shared controls
- cybersecurity 3 shared controls
- policy 3 shared controls
- ai safety 3 shared controls
- compliance 3 shared controls
- ai governance 3 shared controls
Frameworks that govern responsible ai
What the standards actually require on responsible ai
Requirements naming responsible ai across 6 standards, quoted from the control text.
Within twelve months of the policy taking effect each agency must have mandatory training on responsible AI use in place for all staff.
australia-policy-for-the-responsible-use-of-ai-in-government-version-2-0::3.2 · Implement mandatory responsible AI training for all staff within twelve months →The organization settles and approves how it will communicate and consult in support of the framework (ISO 31000:2018, 5.4.5). For AI that approach has to reach the extra stakeholders AI brings in, such as data subjects and people subject to automated decision...
iso-iec-23894-2023::5.4.5 · Establishing communication and consultation →When a Group 2 business relationship is flagged as high risk, engage it directly to understand its due diligence and encourage further action, gathering its commitments to responsible AI standards, significant risks identified and assessed, prioritisation crit...
oecd-due-diligence-guidance-for-responsible-ai-2026::2.2.G1G3 · 2.2.G1G3 In-depth assessment by suppliers and users of high-risk AI developers →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 →Top management must show leadership of and commitment to the AIMS by: making sure the AI policy and AI objectives exist and fit the organization's strategic direction; building AIMS requirements into business processes; making resources available;
iso-iec-42001-2023::5.1 · Leadership and commitment →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 →Questions people ask about responsible ai
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Our platform maps 1,016 frameworks with 316K cross-framework control mappings. Explore how this concept is addressed across standards.