Risk Management: Using AI to Improve Itself
Alternative Title
Risk Management: Using Artificial Intelligence (AI) to Improve Itself
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 I-II
Start Date
22-7-2024 3:30 PM
End Date
22-7-2024 4:00 PM
Publisher
University of Central Florida Libraries
Keywords:
Data management; Educational equity; Prompt engineering; Ethical AI; Bias mitigation
Subjects
Risk management--Study and teaching (Higher); Artificial intelligence--Educational applications; Risk management--Social aspects; Risk management--Methodology; Artificial intelligence--Moral and ethical aspects
Description
This session aims to promote responsible data management, ensure educational equity, and foster a balanced and informed approach to large language models in higher education. To combat risks, we’ll share how to use prompt engineering to mitigate bias, hallucinations, and other errors created by AI. This session will introduce models and methods you can adapt so that AI can improve itself. We will share examples of how to control issues, such as through a novel software solution designed to emphasize ethical use of AI.
Language
eng
Type
Presentation
Rights Statement
All Rights Reserved
Audience
Faculty, Administrators, Educators
Recommended Citation
King, Ben and Ducut, Janette de la Rosa, "Risk Management: Using AI to Improve Itself" (2024). Teaching and Learning with AI Conference Presentations. 57.
https://stars.library.ucf.edu/teachwithai/2024/monday/57
Risk Management: Using AI to Improve Itself
Sun & Surf I-II
This session aims to promote responsible data management, ensure educational equity, and foster a balanced and informed approach to large language models in higher education. To combat risks, we’ll share how to use prompt engineering to mitigate bias, hallucinations, and other errors created by AI. This session will introduce models and methods you can adapt so that AI can improve itself. We will share examples of how to control issues, such as through a novel software solution designed to emphasize ethical use of AI.