Roundtable: Intersectionality of AI and Machine Learning Tools: Pedagogical Strategy for Research, Policy, Practices in HBCUs

Session Submission Type: Roundtable Session

Abstract/Description

Traditional pedagogy practice has focused on research delivery through critical thinking within the academy. Nevertheless, contemporary academic learning intersects with Artificial Intelligence (AI) and several Machine Learning (ML) tools. The opportunities for AI/ML to advance knowledge have created mixed perspectives on using and applying these learning tools. This roundtable will discuss the intersection between ML, AI, and the applicability of research on crime, policy, and best practices, especially in HBCUs. It will also examine academic ethics in pedagogy supported by AI/ML tools. A framework for future educational policy resolution and reconciliation will also suggested.

Keywords: Artificial Intelligence (AI), Machine Learning, ChatGPT, Grammarly, Microsoft co-pilot 365, Gemini, Claude AI, DALL-E

Sub Unit

• Area XIV. Roundtables

Chairs

• Elycia Daniel, Clark Atlanta University

• Emmanuel Ben-Edet, Clark Atlanta University

• Edidiong Mendie, California State University, Sacramento

Discussants

• Abiodun Raufu, Southern University and A&M College

• Lucy Tsado, Lamar University

• Oludayo Famakin-Johnson, Texas Southern University

• Karlene P. Blackman, Bethune-Cookman University