Artificial Intelligence: Background, Selected Issues, and Policy Considerations [May 19, 2021] [open pdf - 2MB]
From the Introduction: "Artificial intelligence (AI)--a term first used in the 1950s--can broadly be thought of as computerized systems that work and react in ways commonly thought to require intelligence, such as the ability to learn, solve problems, and achieve goals under uncertain and varying conditions. In the past decade, increases in computing power, the availability of large-scale datasets (i.e., big data), and advances in the methodologies underlying AI, have led to rapid growth in the field. AI technologies currently show promise for improving the safety, quality, and efficiency of work and for promoting innovation and economic growth. At the same time, the application of AI to complex problem solving in real-world situations raises concerns about trustworthiness, bias, and ethics and potential disruptive effects on the U.S. workforce. In addition, numerous policy questions are at issue, including those concerning the appropriate U.S. approach to international competition in AI research and development (R&D), technological standard setting, and the development of testing benchmarks. Given the increasing use of AI technologies across economic sectors, stakeholders from academia, industry, and civil society have called for the federal government to become more knowledgeable about AI technologies and more proactive in considering public policies around their use. To assist Congress in its work on AI, this report provides an overview of AI technologies and their development, recent trends in AI, federal AI activity, and selected issues and policy considerations."
CRS Report for Congress, R46795
Congressional Research Service: https://crsreports.congress.gov/