Up Next

ki-logo-white
Market-Based Solutions to Vital Economic Issues

SEARCH

Kenan Institute 2024 Grand Challenge: Business Resilience
ki-logo-white
Market-Based Solutions to Vital Economic Issues

The Risk of Digital Discrimination: Exploring AI Bias

Up Next

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.  


You may also be interested in: