LATEST EPISODE Encore: What Happens in Vegas… Is Captured on Camera Nov. 4, 2020 The use of facial recognition by police has come under a lot of scrutiny. Ever since I was a kid, I've adored programming, math, and tech. Why Don’t We Trust Machines When We Obviously Should? Recommended to us from our friends over at It's Not Rocket Surgery, this MIT Technology Review show is all about automation and how it is growing and impacting our lives. Algorithms decide who receives social services, goes to jail, gets into college, qualifies for loans, or lands a job. So much so, even the experts get it wrong sometimes. In Machines We Trust 14 Episodes 19 minutes | Aug 12th 2020 When an Algorithm Gets It Wrong What happens when an algorithm gets it wrong? Defining what is, or isn’t artificial intelligence can be tricky (or tough). A podcast about the automation of everything. As seen in: In Machines We Trust Podcast, MIT Technology Review, The Wall Street Journal, Public Radio International, Diario La República (Columbia), Marketplace, Singularity Hub, WLRN-FM (Miami, FL), WJCT-TV (Jacksonville, FL) Algorithms decide who receives social services, goes to jail, gets into college, qualifies for loans, or lands a job. In this piece, Scott Rosenberg examines the machine count vs. the hand count controversy of Election 2000. A podcast about the automation of everything. That’s why MIT Technology Review’s Senior AI Reporter Karen Hao created a flowchart to explain it all. I'm a machine learning engineer. Modelling Trust in Artificial Agents, A First Step Toward the Analysis of E-Trust. Mariarosaria Taddeo - 2010 - Minds and Machines 20 (2):243-257. Hi, I'm Red. Toggle navigation In Machines We Trust. Host Jennifer Strong and the team at MIT Technology Review look at what it means to entrust artificial intelligence with our most sensitive decisions. This paper takes a decidedly different approach to the problem by posing the question, if we cannot trust human financial advisers to act in their client’s best interests, should we trust a machine instead? 1 Zammit-Lucia, “Misaligned Incentives.” 2 Burke, “Impacts … In Machines We Trust. About (active) Archive; Tags; About. In the first of a four-part series on face ID, Jennifer Strong and the team at MIT Technology Review explore the arrest of a man who was falsely accused of a crime using facial recognition. Not everyone fears our machine overlords. This week on the PDS learn all about facial recognition with In Machines We Trust. In other words, we know that autonomous cars are safer than human drivers in general but we think that we … Host Jennifer Strong and the team at MIT Technology Review look at what it means to entrust artificial intelligence with our most sensitive decisions. We listen to the first four episodes and talk about all the things it made us think about. 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