SESSION 12:
The Fred DeMatteis School of Engineering and Applied Science presents
EXPLORING GENERATIVE AI IN HIGHER EDUCATION: EFFECTIVE APPLICATION, ETHICAL IMPLICATIONS, AND PROFESSIONAL READINESS
As artificial intelligence (AI) evolves, its impact is profoundly felt across various sectors, including higher education. Predictions of AI’s ramifications range from utopian visions of a more efficient society to apocalyptic fears of the destruction of civilization. However, the reality is likely to be somewhere in between as generative AI, like any tool, can be used in both constructive and destructive ways. The only thing that is certain is that generative AI is not going away. So, how do we as professionals engage with AI productively? How do we train our students to use these tools effectively and ethically as they begin their careers? This session will explore professional readiness, effectiveness, and ethics in the face of the emerging generative AI landscape. A moderated discussion between Hofstra engineering faculty with extensive experience in industry, research, and teaching will focus on generative AI’s role in research, its ethical dimensions, professional practices, and its influence on teaching and learning methods.=
Panelists:
M. Dave Burghardt, Professor of Engineering and Founder and co-Director of the Center for STEM Research
Edward H. Currie, Associate Professor of Engineering
Brian J. Galli, Assistant Professor of Engineering and Graduate Program Director, MS in Engineering Management
Nicholas J. Merna, Associate Professor of Engineering
Moderator: D. Elliott Williamstyer, Assistant Professor of Engineering
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