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A brief overview of Singapore's AI Governance Model Framework (Generative AI Edition).

A brief overview of Singapore's AI Governance Model Framework (Generative AI Edition).

AI compliance • Admin • • 2 views


1. Background

Jointly released by the Infocomm Media Development Authority (IMDA) of Singapore and the AI Verify Foundation, it was launched on May 30, 2024, aiming to address the new risks and challenges posed by generative artificial intelligence.


2. Scope of application

Applicable to developers, deployers, and related institutions of generative artificial intelligence systems, including application scenarios such as large language models and image generation models.


3. Main contents

:
  1. Accountability,
  2. Data quality
    3. ,
  3. Trusted development and deployment,
    4. and
  4. incident reporting
  5. Testing and Assurance,
  6. Security,
  7. Content Provenance,
  8. Safety and Alignment R&D,
  9. AI for Public Good


4. Significance

On the

basis of continuing the traditional AI governance principles, we have strengthened risk prevention and control and practical guidance for generative AI, and promoted the construction of a trustworthy generative AI ecosystem.


See the official website for details:

https://aiverifyfoundation.sg/wp-content/uploads/2024/05/Model-AI-Governance-Framework-for-Generative-AI-May-2024-1-1.pdf

Singapore Generative AI Governance Framework IMDA vs AI Verify Guide 2024 Singapore Generative AI Policy Generative AI risk response Scope of application of generative AI Large models and image generation are compliant Generative AI accountability Data quality and data governance Trusted development and deployment practices Generative AI incident reporting requirements AI testing and certification framework Generative AI safeguards Traceability and watermarking of content sources Safety and consistency research and development AI for Public Good Singapore's AI governance compared to the European Union How companies implement the IMDA framework Generative AI Compliance Checklist Singapore Model provider and deployer responsibilities Generative AI transparency requirements Model evaluation and certification process Generative AI risk control practices Supply chain and third-party management Generative AI Ethics and Governance Principles Developer Deployer Compliance Guidelines Content source labeling and traceability Generative AI international governance collaboration Interpretation of Singapore's AI Verify standard Policy released on May 30, 2024 Reliable generative AI ecosystem construction

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