Alternative Title

Are They Guilty? Strategies for Detecting Artificial Intelligence (AI)-Generated Work

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 E

Start Date

24-7-2024 10:45 AM

End Date

24-7-2024 11:15 AM

Publisher

University of Central Florida Libraries

Keywords:

AI detection; Academic integrity; Student writing; Educational strategies; AI ethics

Subjects

Artificial intelligence--Study and teaching; Academic writing--Study and teaching; Artificial intelligence--Educational applications; Academic writing--Study and teaching (Higher); Artificial intelligence--Social aspects

Description

The use of artificial intelligence (AI) in academic writing has become increasingly prevalent, and faculty need to be able to identify when students are using AI to generate their papers. In this presentation, we will discuss strategies that faculty can use to distinguish AI-generated work from human-generated work. We will also explore how to identify specific AI-generated text, provide tips on how to approach a situation in which a student is suspected of using AI, and recommendations for setting expectations about AI usage in your course.

Language

eng

Type

Presentation

Format

application/pdf

Rights Statement

All Rights Reserved

Audience

Faculty, Students

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Jul 24th, 10:45 AM Jul 24th, 11:15 AM

Are They Guilty? Strategies for Detecting AI-Generated Work

Seminole E

The use of artificial intelligence (AI) in academic writing has become increasingly prevalent, and faculty need to be able to identify when students are using AI to generate their papers. In this presentation, we will discuss strategies that faculty can use to distinguish AI-generated work from human-generated work. We will also explore how to identify specific AI-generated text, provide tips on how to approach a situation in which a student is suspected of using AI, and recommendations for setting expectations about AI usage in your course.