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AI Accountability in the US Federal Government – A Primer

American Council for Technology-Industry Advisory Council (ACT-IAC) – “Artificial Intelligence (AI) has been implemented for hundreds of use cases across the Federal government. Given this increased adoption, Federal leaders have an opportunity to lean in to take responsible and prudent measures to address AI accountability in the context of their unique mission. This paper outlines minimum requirements and related policy guidance and provides recommendations on actions agencies can take to proactively manage risks associated with AI accountability… Artificial Intelligence (AI) Accountability is an important opportunity for agencies because AI capabilities present risks not anticipated by other federal regulations and policies. Federal organizations intending to build, acquire, or consume AI capabilities should understand AI governance, in respect to accountability. Federal guidance does not currently provide a precise definition of Artificial Intelligence (AI) accountability. Agencies therefore have a lot of latitude and a significant opportunity to lean in and take responsible and prudent measures to address AI accountability in the context of their unique mission. This paper describes the current federal AI accountability landscape as the set of activities federal agencies take to ensure the proper functioning of the AI systems that they design, develop, purchase, operate or deploy. Failure to plan for accountability in the adoption of AI may result in greater risks. Executive Order (EO) 139601, the only governing document requiring action on AI accountability, lists minimum requirements, including those pertaining to AI accountability, specifies safeguards on the proper use and functioning of AI in the Federal Government. Other guidance, including the National Institute of Standards and Technology (NIST) AI Risk Management Framework (RMF) and Government Accountability Office (GAO) AI Accountability Framework, provides valuable guidance for federal managers who are looking to proactively lean in to manage key risks posed by their agency’s use of AI..”

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