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The AI [whitepaper] indicates in Annex A that each regulator should consider issuing guidance on the interpretation of the principles within its regulatory remit, and suggests that in doing so they may want to rely on emerging technical standards (such as ISO or IEEE standards).
While much attention is being paid to ways to harness the power of AI, equally important are questions of safety and transparency, and the balance of collaboration between government and industry to advance strategic leadership in the global AI race.
While much attention is being paid to ways to harness the power of AI, equally important are questions of safety and transparency, and the balance of collaboration between government and industry to advance strategic leadership in the global AI race.
This includes, alongside increased transparency by private actors developing frontier AI capabilities, appropriate evaluation metrics, tools for safety testing, and developing relevant public sector capability and scientific research’ (emphases added).
The UK’s Digital Regulation Cooperation Forum (DRCF) has published a report on Transparency in the procurement of algorithmic systems (for short, the ‘AI procurement report’). None of this features in the recently released WhitePaper ‘AI regulation: a pro-innovation approach’.
Swimming against the tide, and seeking to diverge from the EU’s regulatory agenda and the EU AI Act , the UK announced a light-touch ‘pro-innovation approach’ in its July 2022 AI regulation policy paper. What is the place and role of the Office for AI and the Centre for Data Ethics and Innovation in all this?
This opportunity allows industry to submit whitepapers at any time that are aligned with one of the DPA’s areas of focus, including sustaining critical production, commercializing research and development investments, and scaling emerging technologies. Data is based on the Federal Assistance Listings maintained by GSA.
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