“The term “artificial intelligence” (hereinafter “AI”) was coined in the 1950s and has been a staple in science fiction movies and literature. However, it appears that the 2020s is the decade when the real-world realities of AI are finally manifesting. In early 2023, The New York Times referenced the beginning of an “AI arms race.” ChatGPT was introduced in November 2022 and has already passed a bar exam, passed a medical licensing exam, scored in the top 10th percentile on the combined SAT, passed an entire semester’s worth of classes at a tier 1 law school, passed a University of Pennsylvania Wharton School of Business MBA Exam, and written hundreds of books sold on Amazon. Autonomous drones have already been used in military conflicts to kill soldiers. Madison Square Garden is enforcing an expansive attorney ban through the use of facial recognition software. And in 2023, Ford applied for a patent for self-repossessing automobiles. This is a brief review of Mark Deem and Peter Warren’s new book, AI on Trial. It offers diverse views regarding the rapidly evolving legal standards of AI. It is easy to read due to the conversation tone and lack of technical jargon. While the book offers an expansive coverage of AI, this review will focus on the topics of irrational fear of AI, biased AI, AI for legal determinations, immense benefits from AI compared to human labor, and the nuanced balancing act of regulating AI. The book would serve as a valuable resource for business law professors looking for topical, high-stakes, stimulating topics to act as a catalyst to ignite class discussion regarding the real-life application of law.”
Is AI Friend or Foe: Legal Implications of Rapid Artificial Intelligence Adoption
Conklin, Michael, Is AI Friend or Foe: Legal Implications of Rapid Artificial Intelligence Adoption (April 25, 2023). Michael Conklin, Is AI Friend or Foe: Legal Implications of Rapid Artificial Intelligence Adoption, 26 ATLANTIC L.J. ___ (forthcoming 2023). , Available at SSRN: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4429539