AI Hot Topics: AI, Ethics, and Bias: Human Factors or Machine Learning?

About this event

Please join the Data Science and AI Academy for the AI Hot Topic series , an opportunity for people curious about AI to network with experts, scholars and practitioners. Each month, a small group from industry and academia will explore a new topic in AI research, ethics, and practice. Through these conversations, we will envision new opportunities to build industry-academia-government partnerships, collaborations, and community.

Title: AI, Ethics and Bias: Human Factors or Machine Learning?

Description:. Where does bias in AI systems originate, and how does it show up in practice? What disciplinary knowledge is relevant, and how can it be integrated? This panel brings together perspectives from anthropology, English, and computer science to explore how ethics is operationalized and what gets in the way.

Panelists:

Social Sciences: Kinsey Katchka , PhD, Cultural Anthropologist and Systems Ethnographer; Counter-Bias Consultant and AI Evaluator

Humanities: Christin Phelps, Associate Director, Professional Writing Program, Department of English, NC State University

STEM: Dave Roberts, Professor, Department of Computer Science, College of Engineering at NC State University

Moderator:

Meghan Manfra, Faculty Director, Data Science and AI Academy, NC State University