Chess and Closed Form Problems

Got something to say to this podcast? Send a voicemail, and you might hear yourself on the next episode! When a computer defeated world chess champion Garry Kasparov, many believed machines had become smarter than humans. But the real lesson was simpler: machines excel at closed-form problems, situations with clear rules, limited options, and defined outcomes. In this episode of We Are the Machines, Dr. Deitra Sawh explores the difference between closed and open problems and why AI performs best when decisions are structured. From chess to corporate strategy, learn how framing the right problem can unlock smarter decisions, faster results, and better use of AI, without losing human ingenuity.