Generative AI
What is Generative AI?
Artificial intelligence systems capable of generating text, images, code, audio, and other content. Generative AI raises unique governance challenges around intellectual property, misinformation, bias, and data privacy.
Terms that appear alongside generative ai
Each of these is named in at least one of the same controls as generative ai. The number is how many controls name both.
- governance 16 shared controls
- transparency 15 shared controls
- cybersecurity 14 shared controls
- nist 13 shared controls
- ai governance 8 shared controls
- eu ai act 8 shared controls
- policy 7 shared controls
- ransomware 7 shared controls
Frameworks that govern generative ai
What the standards actually require on generative ai
Requirements naming generative ai across 6 standards, quoted from the control text.
HK PDPO operates under One Country Two Systems separation from mainland China data protection regime (PIPL + DSL + CSL all verified separately in this corpus).
HK-PDPO-Coord-China-PIPL-APEC-CBPR-2024-2025-Pipeline-AI-Breach · HK PDPO Coordination with China PIPL + APEC CBPR + Global CBPR Forum + 2024 Generative AI Model Framework + Pending 2025 Mandatory Breach + Administrative Fines →Japan AI Guidelines for Business adopt a risk-based approach to AI system categorisation following Hiroshima AI Process principles + conceptually aligned with EU AI Act tiering though voluntary rather than mandatory.
JP-AIG-Risk-Based-AI-System-Categorisation-Tiered-Approach-EU-AI-Act-Aligned-Generative-Foundation-Models · Japan AI Guidelines Risk-Based AI System Categorisation + Tiered Approach + EU AI Act Aligned + Generative AI + Foundation Models + High-Risk + Limited-Risk + Minimal-Risk + AISI Capability-Based Thresholds →Comply with NIST AI 600-1 Artificial Intelligence Risk Management Framework Generative AI Profile published 26 July 2024 as a companion to NIST AI RMF 1.0 (NIST AI 100-1).
NISTAI600-1 · NIST AI 600-1 Scope and 12 Generative AI Risk Categories →Adhere to OECD 2024 Update transparency requirements for generative AI + content provenance + authenticity. Generative AI transparency for outputs must (a) clearly disclose to users when they are interacting with AI-generated content + AI-personalised content...
OECDAI24-2 · Generative AI Transparency, Content Provenance, and Authenticity →Where the service uses or provides generative AI capabilities, the provider will take reasonable steps to consider and address safety risks arising from those capabilities.
BOSE-S8A · Additional expectation - reasonable steps regarding generative AI capabilities →Apply additional measures for general-purpose and generative AI including content provenance.
AIDA-16 · Generative AI Specific Measures →Questions people ask about generative ai
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