The dangers of AI challenge even the experts

At the Re-Work Deep Learning Summit in Boston today, a panel of ethicists and engineers discussed some of the biggest challenges facing artificial intelligence: algorithmic biases, ethics in AI, and whether the tools to create AI should be made widely available. The panel included Simon Mueller, cofounder and vice president of think tank The Future Society; Cansu Canca, founder and director of the AI Ethics Lab; Gabriele Fariello, a Harvard instructor in machine learning, researcher in neuroinformatics, and chief information officer at the University of Rhode Island; and Kathy Pham, a Google, IBM, and United States Digital Service alum who's currently researching ethics at the Artificial Intelligence and Software Engineering at Harvard Berkman Klein Center and MIT Media Lab. Mueller kicked off the discussion with a thorny question: Is ethics the most pressing problem for the progress of AI? "It's always an'engineering first and solve the tech problem first' attitude [when it comes to AI]," Pham said. "There are a lot of experts out there who have been thinking about this, [but] those voices need to be recognized as just as valuable as the engineers in the room." Canca agreed that ethics aren't discussed among product leads and designers as often as they should be.