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Market-Based Solutions to Vital Economic Issues

The Risk of Digital Discrimination: Exploring AI Bias

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AI applications are ubiquitous – and so is their potential to exhibit unintended bias. Algorithmic and automation biases and algorithm aversion all plague the human-AI partnership, eroding trust between people and machines that learn. But can bias be eradicated from AI? Dr, Fay Cobb Payton, Professor of Information Systems & Technology at NC State’s Poole College of Management and a Program Director at the National Science Foundation in the Division of Computer and Network Systems moderates a discussion between Timnit Gebru, research scientist and the co-lead of the Ethical AI Team at Google and the co-founder of Black in AI; Brenda Leong, senior counsel and director of artificial intelligence and ethics at the Future of Privacy Forum; Professor Mohammad Jarrahi, associate professor at UNC’s School of Information and Library Science; and Chris Wicher, Rethinc. Labs AI Research Fellow, former director of AI Research at KPMG’s AI Center of Excellence and Vice President of Watson Engineering at IBM.  


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