As Judea Pearl sees it, the underlying reason for such mistakes is that “. A corollary of such widespread commercial deployment is that when AI gets things wrong-an autonomous vehicle crashes, a chatbot exhibits “racist” behavior, automated credit-scoring processes “discriminate” on gender, etc.-there are often significant financial, legal, and brand consequences, and the incident becomes major news. Such technological developments from artificial intelligence (AI) labs have ushered concomitant applications across the world of business, where an “AI” brand-tag is quickly becoming ubiquitous. Department of Computing, Goldsmiths, University of London, London, United KingdomĪrtificial Neural Networks have reached “grandmaster” and even “super-human” performance across a variety of games, from those involving perfect information, such as Go, to those involving imperfect information, such as “Starcraft”.
