Nov 10, 2022, 10:00 am EST / 17:00 CET
CAIDP Conversations: Data Activism, Implicit Bias, and Al Ethics with Renée Cummings and Lorraine Kisselburgh
Coded implicit bias embedded in artificial intelligence have significant impact on criminal and social justice, specifically in communities of color and incarcerated populations. This conversation will explore the role of AI ethics in addressing the issue of AI unfairness.
Assistant Professor @University of Virginia
Renée Cummings is an Assistant Professor at the University of Virginia. Professor Cummings is a criminologist and international criminal justice consultant who specializes in Artificial Intelligence (AI); ethical AI, bias in AI, diversity and inclusion in AI, algorithmic authenticity and accountability, data integrity and equity, AI for social good and social justice in AI policy and governance. Foreseeing trends and anticipating disruptions, she’s committed to diverse and inclusive AI strategy development; using AI to empower and transform communities and cultures; securing diverse and inclusive participation in the 4IR, helping companies navigate the AI landscape and developing future AI leaders. She’s also a criminal psychologist, therapeutic jurisprudence and rehabilitation specialist, substance abuse therapist, crisis intelligence, crisis communication and media specialist, creative science communicator and journalist.
PhD @CAIDP and Purdue University
Lorraine Kisselburgh is a social scientist studying the social implications of emerging technologies in organizational contexts. Her research spans the intersections of organizing, social interaction, work, gender, culture, and ethical issues in technological or alternative contexts. She has been published in top journals including Organization Studies, Communication Monographs, Management Communication Quarterly, SIGCHI, Annals of International Communication Association, Journal of Mechanical Design, Journal of Motor Behavior, and Acta Psychologica.