In this three part series, Alan Brill and Elaine Wood look at the evolution of artificial intelligence, machine learning and autonomous decision making and how the skills of the General Counsel are likely to be critical in protecting the organization from avoidable risks. Part 2 explored what happens to developers of software when AI evolves in a way that results in an unintended violation of national laws, while Part 3 examined where management enters the picture in AI applications.
Machine learning and autonomous decision making are the hallmarks of artificial intelligence (AI). We see autonomous decision making at work in today’s cars with automated crash avoidance systems. Using a combination of sensors and computers, the system “learns” and evolves to be better and better at solving the problems it is programmed to respond to.
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