Deliberately Safeguarding Privacy and Confidentiality in the Era of Generative AI (CANCELLED)

Alternative Title

Deliberately Safeguarding Privacy and Confidentiality in the Era of Generative Artificial Intelligence (GenAI) (CANCELLED)

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

Sun & Surf III-V

Start Date

24-7-2024 10:15 AM

End Date

24-7-2024 10:45 AM

Publisher

University of Central Florida Libraries

Keywords:

Generative AI; Confidentiality; Data protection; Ethical considerations; Privacy strategies

Subjects

Privacy--Moral and ethical aspects; Data privacy; Artificial intelligence--Moral and ethical aspects; Data protection; Privacy-preserving techniques (Computer science)

Description

One of the most important aspects of ethics related to the use of generative AI, and one that should be considered first before the first time you use a new tool, is privacy. One should not only consider their own privacy, but that of others. Additionally, users should protect personal privacy and institutional and corporate confidentiality. This session will provide an opportunity to discuss strategies, techniques, and workflows to protect personal and corporate confidential data.

Language

eng

Type

Presentation

Format

application/vnd.openxmlformats-officedocument.presentationml.presentation

Rights Statement

All Rights Reserved

Audience

Faculty, Administrators, Students

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

Deliberately Safeguarding Privacy and Confidentiality in the Era of Generative AI (CANCELLED)

Sun & Surf III-V

One of the most important aspects of ethics related to the use of generative AI, and one that should be considered first before the first time you use a new tool, is privacy. One should not only consider their own privacy, but that of others. Additionally, users should protect personal privacy and institutional and corporate confidentiality. This session will provide an opportunity to discuss strategies, techniques, and workflows to protect personal and corporate confidential data.