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Singapore proposes generative artificial intelligence framework

Singapore proposes generative artificial intelligence framework

To address newly emerging issues.

By Abbinaya Kuzhanthaivel on Jan 17, 2024 1:21AM

Singapore has proposed a new framework for generative artificial intelligence (AI) and is now seeking views from the international community.

The Model AI Governance Framework for Generative AI, developed by AI Verify Foundation (AIVF) and Infocomm Media Development Authority (IMDA) expands on the existing framework that covers traditional AI, last updated in 2020.

AIVF was launched in 2023 in collaboration with seven pioneering members including IBM, Microsoft, Red Hat, Google and Salesforce to develop AI testing tools for the responsible use of AI.

"With generative AI, there is a need to update the earlier model governance framework to holistically address new issues that have emerged," AIVF and IMDA said in a joint press release.

The framework aims set forth a "systematic and balanced approach" to address generative AI concerns while continuing to facilitate innovation.

The agencies plan to collate recommendations from the international community to support in finalising the framework.

Trusted environment

The proposal also aims to facilitate international conversations among policymakers, industry, and the research community, to enable development of "trusted environment".

It looks at nine proposed dimensions - accountability, data, trusted development and deployment, incident reporting, testing and assurance, security, content provenance, safety and alignment research and development and AI for public good to support a comprehensive and trusted AI ecosystem.

The core elements are based on the principles that decisions made by AI should be explainable, transparent, and fair.

Beyond principles, it offers practical suggestions that model developers and policymakers can apply as initial steps.

IMDA said the proposal integrates previous ideas from the discussion paper and draws on earlier work for guidance on suggested practices for safety evaluation of generative AI models.

It would also count on practical insights from ongoing evaluations tests.

The framework is expected to evolve with development of new techniques and technologies. 

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