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Working Group on AI Governance Under the Asean Digital Senior Officials' Meeting
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Building on previous collaboration, the European Commission and PDPC intend to further develop their partnership on issues of common interest, notably through the exchange of knowledge, experience and best practices to enhance data protection and trusted data flows, including exploring the use of privacy-enhancing technologies, in support of the digital economy and advancing the protection of children in the digital environment, which is a priority area for both sides.
Invest up to S$500mil to avail high-performance compute to support AI innovation and capability building.
This framework expands on the existing Model Governance Framework that covers Traditional AI, last updated in 2020. It covers nine dimensions for generative AI which should be looked at in totality - (a) accountability; (b) data; (c) trusted development and deployment; (d) incident reporting; (e) testing and assurance; (f) security; (g) establishing content provenance; (h) safety and alignment research & development; and (i) AI for Public Good.
The ASEAN Guide on AI Governance and Ethics is a practical guide for organisations in the region that wish to design, develop, and deploy traditional AI technologies in commercial and non-military or dual-use applications.
The AI Verify Foundation will harness the collective power and contributions of the global open source community to develop AI testing tools for the responsible use of AI. It will look to boost AI testing capabilities and assurance to meet the needs of companies and regulators globally.
The Infocomm Media Development Authority (IMDA) and Google are helping developers and businesses tap into innovations to build a privacy-first digital ecosystem. The IMDA-Google: PET x Privacy Sandbox provides a safe environment and testing ground for pilot projects.
The Sandbox will bring global ecosystem players together through concrete use cases, to enable the evaluation of trusted AI products. The Sandbox will make use of a new Evaluation Catalogue, as a shared resource, that sets out common baseline methods and recommendations for Large Language Models (LLM).
