Some AI researchers are increasingly worried about the lack of ethical oversight, with the job often falling to peer reviewers, a stark contrast to other fields
At artificial-intelligence conferences, researchers are increasingly alarmed by what they see. Tweets: @silverjacket , @mathewjschwartz , @bhecht , @vdignum , @mkearnsupenn , and @sh_reya Tweets: Matthew Hutson / @silverjacket : “I don't want my research to succeed,” an AI grad student said, concerned about her work's impact. My latest for @NewYorker. https://www.newyorker.com/... Mathew Schwartz / @mathewjschwartz : Analysis: Who should stop unethical A.I.? At artificial-intelligence conferences, researchers are increasingly alarmed by what they see. (New Yorker) https://www.newyorker.com/... Brent Hecht / @bhecht : A good way to catch up on developments in the academic community around tech ethics. I like the focus on HCI's leadership in this space (cc @sigchi). The article also does a good job describing the most jarring conversation I've ever had in a conference poster session! https://twitter.com/... Virginia Dignum / @vdignum : Good read even if misleading title: There is no unethical #AI (in the same way that there is no ethical AI). There are unethical approaches and uses of AI. #responsibleAI #AIethics Who Should Stop Unethical A.I.? https://www.newyorker.com/... via @NewYorker Michael Kearns / @mkearnsupenn : Extensive and balanced article on ethical challenges in AI/ML, nicely done @SilverJacket https://twitter.com/... Shreya Shankar / @sh_reya : Good read on AI research <-> ethics tensions. It's terrifying to think about what the equivalent of the Tuskegee Study in AI research will be. Or, where is the “Nuremberg Code” for ethically questionable forecasting tasks? https://twitter.com/...