The proliferation of algorithms has a bevy of unintended consequences as well as a healthy dose of opportunity. The problem is that businesses aren't prepped for the business risk and the implications algorithms have.
In his book,
, A Human's Guide to Machine Intelligence Wharton professor Kartik Hosanagar makes a case for more transparency, procedures to audit algorithms and even regulation.
I caught up with Hosanagar to talk about his book, examples of how algorithms have gone bad and the risks and rewards ahead for AI. I found Hosanagar's book insightful and easily digestible.
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Algorithms are already proliferating. What Microsoft learned from its AI bot experiments in China and U.S. The need for algorithm auditing. Business and social risks with algorithms. The roles of government, industry and enterprises with regulating algorithms. MORE ON AI: EBOOKS:
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