Alternative Title

Artificial Intelligence (AI) Across Disciplines: Calculator, Lightbulb, Admin. Assistant

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 (2024 : Orlando, Fla.)

Location

Seminole A

Start Date

24-7-2024 10:15 AM

End Date

24-7-2024 10:45 AM

Publisher

University of Central Florida Libraries

Keywords:

AI ethics; Disciplinary perspectives; Educational tools; Assignment examples; Academic contexts

Subjects

Artificial intelligence--Moral and ethical aspects; Artificial intelligence--Educational applications; Artificial intelligence--Social aspects; Artificial intelligence--Study and teaching; Artificial intelligence--Research

Description

This presentation will address the diverse perceptions of artificial intelligence use across disciplines. Whether or not the use of artificial intelligence tools such as text and image generators is ethical does not depend on any single set of rules, but on widely varying academic contexts. Therefore, it is essential to discuss AI ethics and implementation from different perspectives, acknowledging that one major’s “cheating” may be another’s efficiency. The presenter will share their experiences working with professors in different fields and share AI assignment examples for creative, technical, and applied science disciplines.

Language

eng

Type

Presentation

Format

application/pdf

Rights Statement

All Rights Reserved

Audience

Faculty, Students, Instructional designers

Additional Files
AI Across Disciplines Handout.pdf (135 kB)
AI Across Disciplines Handout
Download

Share

COinS
 
Jul 24th, 10:15 AM Jul 24th, 10:45 AM

AI Across Disciplines: Calculator, Lightbulb, Admin. Assistant

Seminole A

This presentation will address the diverse perceptions of artificial intelligence use across disciplines. Whether or not the use of artificial intelligence tools such as text and image generators is ethical does not depend on any single set of rules, but on widely varying academic contexts. Therefore, it is essential to discuss AI ethics and implementation from different perspectives, acknowledging that one major’s “cheating” may be another’s efficiency. The presenter will share their experiences working with professors in different fields and share AI assignment examples for creative, technical, and applied science disciplines.