Bridging Theory and Practice: A Framework for Designing AI Ethics Courses Across Disciplines

Alternative Title

Bridging Theory and Practice: A Framework for Designing Artificial Intelligence (AI) Ethics Courses Across Disciplines

Contributor

University of Central Florida. Faculty Center for Teaching and Learning; University of Central Florida. Division of Digital Learning; Teaching and Learning with AI Conference (2025 : Orlando, Fla.)

Location

Seminole A

Start Date

29-5-2025 2:45 PM

End Date

29-5-2025 3:10 PM

Publisher

University of Central Florida Libraries

Keywords:

AI ethics; Course design; Interdisciplinary education; Ethical reasoning; AI literacy

Subjects

Artificial intelligence--Study and teaching; Engineering ethics--Study and teaching (Higher); Applied ethics--Study and teaching; Artificial intelligence--Moral and ethical aspects; Interdisciplinary approach in education--Planning

Description

This session presents a practical framework for designing AI ethics courses that meaningfully engage students across disciplines. Drawing from an innovative undergraduate course design, we demonstrate how to effectively integrate AI tools while teaching AI ethics - creating a powerful meta-learning environment. The framework combines technical concepts, ethical reasoning, and hands-on experience through real-world AI interactions. Attendees will learn concrete strategies for balancing theoretical foundations with practical applications, including the use of AI coaching tools, ethical audits, and case studies. We share evidence-based approaches for developing students' AI literacy and ethical reasoning skills while fostering authentic engagement with emerging AI technologies.

Language

eng

Type

Presentation

Rights Statement

All Rights Reserved

Audience

Faculty

This document is currently not available here.

Share

COinS
 
May 29th, 2:45 PM May 29th, 3:10 PM

Bridging Theory and Practice: A Framework for Designing AI Ethics Courses Across Disciplines

Seminole A

This session presents a practical framework for designing AI ethics courses that meaningfully engage students across disciplines. Drawing from an innovative undergraduate course design, we demonstrate how to effectively integrate AI tools while teaching AI ethics - creating a powerful meta-learning environment. The framework combines technical concepts, ethical reasoning, and hands-on experience through real-world AI interactions. Attendees will learn concrete strategies for balancing theoretical foundations with practical applications, including the use of AI coaching tools, ethical audits, and case studies. We share evidence-based approaches for developing students' AI literacy and ethical reasoning skills while fostering authentic engagement with emerging AI technologies.