Regulation of artificial intelligence (AI) is the topic du jour, considered by many to be one of the most important issues today. Many governments worldwide have responded by issuing national plans, guidelines, and ethics codes that highlight the essential principles for developing ethical AI, such as the European Union’s Ethics Guidelines for Trustworthy AI (April 2019) and OECD’s Council Recommendation on Artificial Intelligence (May 2019).
Although the United States was initially less legislatively active than some of its global peers, it is now undergoing significant legislative activities on various aspects of AI governance, particularly relating to algorithmic accountability, facial recognition technology, and chat bots. For example, in 2015–2016, the 114th Congress saw only two bills containing the term “artificial intelligence.” This increased to 42 bills in the following legislative term with the 115th Congress (2017 – 2018) and, as of early November, to 51 bills with the 116th Congress (2019–present). Some notable examples include the Algorithmic Accountability Act, the Filter Bubble Transparency Act, the Commercial Facial Recognition Privacy Act, and California’s Bolstering Online Transparency Act, among many others.
The article, “US AI Regulation Guide: Legislative Overview and Practical Considerations,” authored by Yoon Chae and originally published by the Journal of Robotics, Artificial Intelligence & Law (RAIL), discusses the state of AI regulation in the US today, providing a comprehensive overview of the different legislative instruments and latest regulatory trends, as well as a set of AI-focused practical considerations for businesses and in-house counsel.
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