Beyond the Hype: Addressing Bias in AI for Information Literacy Instruction
Location
Mangrove
Start Date
22-7-2024 1:00 PM
End Date
22-7-2024 2:00 PM
Description
While generative AI tools offer exciting possibilities, they also raise critical concerns about bias. This session delves into the inherent biases within AI systems and their impact on information literacy instruction. We will examine how data selection, training algorithms, and social factors contribute to bias in AI outputs, and then work together to develop practical strategies to empower students to critically analyze AI-generated content. (This session’s title and abstract written with help from Google Gemini.)
Recommended Citation
Tatarian, Allie, "Beyond the Hype: Addressing Bias in AI for Information Literacy Instruction" (2024). Teaching and Learning with AI Conference Presentations. 20.
https://stars.library.ucf.edu/teachwithai/2024/monday/20
Beyond the Hype: Addressing Bias in AI for Information Literacy Instruction
Mangrove
While generative AI tools offer exciting possibilities, they also raise critical concerns about bias. This session delves into the inherent biases within AI systems and their impact on information literacy instruction. We will examine how data selection, training algorithms, and social factors contribute to bias in AI outputs, and then work together to develop practical strategies to empower students to critically analyze AI-generated content. (This session’s title and abstract written with help from Google Gemini.)