ChatGPT hasn't come for us! (Yet?): 2025 Update on ethics and law in AI in education

Alternative Title

ChatGPT hasn't come for us! (Yet?): 2025 Update on ethics and law in Artificial Intelligence (AI) in education

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

30-5-2025 10:15 AM

End Date

30-5-2025 10:40 AM

Publisher

University of Central Florida Libraries

Keywords:

AI ethics; Data privacy; Algorithmic bias; Educational technology; Human involvement

Subjects

Artificial intelligence--Moral and ethical aspects; Artificial intelligence--Educational applications; Artificial intelligence--Social aspects; Educational technology--Law and legislation; Artificial intelligence--Government policy

Description

As artificial intelligence (AI) becomes an essential tool in education, it brings both exciting possibilities and complex ethical challenges. This presentation explores the dual aspects of AI's role in education: enhancing learning experiences and administrative processes while addressing critical concerns around data privacy, bias, and the risk of reduced human involvement. Through real-world examples, participants will gain practical insights into leveraging AI responsibly, from minimizing algorithmic bias to ensuring data privacy and balancing AI' s potential with human judgment. Join us to discuss how (and even whether!) AI can support fair, transparent, and innovative practices that enhance educational outcomes.

Language

eng

Type

Presentation

Rights Statement

All Rights Reserved

Audience

Faculty; Administrators

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May 30th, 10:15 AM May 30th, 10:40 AM

ChatGPT hasn't come for us! (Yet?): 2025 Update on ethics and law in AI in education

Seminole A

As artificial intelligence (AI) becomes an essential tool in education, it brings both exciting possibilities and complex ethical challenges. This presentation explores the dual aspects of AI's role in education: enhancing learning experiences and administrative processes while addressing critical concerns around data privacy, bias, and the risk of reduced human involvement. Through real-world examples, participants will gain practical insights into leveraging AI responsibly, from minimizing algorithmic bias to ensuring data privacy and balancing AI' s potential with human judgment. Join us to discuss how (and even whether!) AI can support fair, transparent, and innovative practices that enhance educational outcomes.