Software Strategist and Evangelist
Peter Varhol is a well-known writer and speaker on software and technology topics and has authored dozens of articles and spoken at a number of industry conferences and webcasts. He has advanced degrees in computer science, applied mathematics, and psychology, and is Managing Director at Technology Strategy Research. His past roles include technology journalist, software product manager, software developer, and university professor.
This presentation explains how AI systems can suffer from the same biases as human experts, and how that could lead to biased results. It examines how testers, data scientists, and other stakeholders can develop test cases to recognize biases, both in data and the resulting system, and how to address those biases.