The bipartisan Task Force on Artificial Intelligence in the US House of Congress has released an 89-recommendation report outlining policy suggestions for federal AI governance.
After 10 months of work, the bipartisan Task Force on Artificial Intelligence in the US house of Congress has unveiled its report, outlining recommendations for federal AI policy. The report makes 89 recommendations based on 66 key findings in 15 different areas.
The 24-member (evenly split between Democrats and Republicans) Task Force – an offshoot of the committee on science and space technology – said the aim of all these is to keep the US competitive in AI while simultaneously taking action to address some of the problems that have already arisen due to its rapid rise in relevance. 'AI has tremendous potential to transform society and our economy for the better and address complex national challenges,' Task Force chairman Jay Obernolte (R-CA) and co-chairman Ted Lieu (D-CA) wrote in an introductory letter accompanying the report.'Nevertheless, we also recognize that AI can be misused and lead to various types of harm. 'This report encapsulates a targeted approach that balances the need to promote vibrant AI innovation while safeguarding Americans from potential harms as we enter an era of widespread adoption of AI,' the chairs added.The report, which the Task Force said it spent 10 months working on in consultation with'business leaders, government officials, technical experts, academics and legal scholars,' covers a lot of ground. It examines government AI use, finding that the feds'should be wary' of using algorithms to inform decisions and recommending the development of AI standards. It also highlights the need to invest in AI education to ensure the identified gap in'talent needed to research, develop, and deploy AI applications' doesn't continue to grow. Additionally, the Task Force suggests clarifying intellectual property laws to address challenges posed by GenAI to the creative community,'appropriately countering the growing harm of AI-created deepfakes,' and developing methods to ensure content authenticity can be verifie
ARTIFICIAL INTELLIGENCE POLICY US CONGRESS AI ETHICS AI REGULATION
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