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

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:. How do biases enter AI systems, and who is responsible for ensuring that these technologies are developed and used ethically? This panel brings together perspectives from English, computer science, and ethnography to explore how language, technical design, and human experiences shape AI systems and their outcomes.

Panelists will consider how interdisciplinary collaboration can help us recognize bias, question assumptions, and build more responsible AI.

Panelists:
Industry: Kinsey Katchka, PhD., Systems Ethnographer | Critical & Applied AI Ethics | Structural Intelligence for Coherence in Complexity
Academia: Christin Phelps, Associate Director, Professional Writing Program, Senior Lecturer; NC State University
Academia: Dave Roberts, Professor, Department of Computer Science, College of Engineering; NC State University

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