Building Trust in AI Systems
January 28, 2021
Bias in data used by AI algorithms is drawing increasing attention. The internet is full of examples of AI systems bias: recruiting algorithms trained on data that favored male candidates, facial recognition software unable to appropriately identify...
AI, Neuralink, and the Evolution of Human-Machine Interfaces
October 22, 2020
Humans have enjoyed an intimate and physical relationship with technology and how they have interacted with tools throughout time. Throughout history the tools created by people have the same two basic characteristics: tools require that a user...
Women in Artificial Intelligence – A Conversation
October 16, 2020
FCAT’s Sarah Hoffman, VP AI and Machine Learning Research, sits down for a far-ranging interview with Haptik’s Burka Gurgenidze-Seinau, discussing the AI field, how AI influences our daily lives, and how it may reshape the future. This engaging...
Eliminating AI Bias: A Human + Machine Approach
August 27, 2020
Bias in AI is a known problem. Cases involving medical care, parole, recruiting, and loans have all been tainted by flawed data sampling or training data that includes biased human decisions.1 The good news: large organizations are waking up. Even...