Disability Ethics and Education in the Age of Artificial Intelligence: Identifying Ability Bias in ChatGPT and Gemini.

Journal: Archives of physical medicine and rehabilitation

Published Date: Aug 30, 2024

Abstract

OBJECTIVE: To identify and quantify ability bias in generative artificial intelligence large language model chatbots, specifically OpenAI's ChatGPT and Google's Gemini.

Authors

Jacob T Urbina

Department of Physical Medicine and Rehabilitation, McGovern Medical School, UTHealth Houston, Houston, TX. Electronic address: jacob.t.urbina@uth.tmc.edu.
Peter D Vu

Department of Physical Medicine and Rehabilitation, McGovern Medical School, UTHealth Houston, Houston, TX.
Michael V Nguyen

Department of Physical Medicine and Rehabilitation, McGovern Medical School, UTHealth Houston, Houston, TX.

Keywords

Artificial Intelligence Bias Disabled Persons Humans

External Resources

View on PubMed Access via DOI PubMed (39216786)

Disability Ethics and Education in the Age of Artificial Intelligence: Identifying Ability Bias in ChatGPT and Gemini.

Abstract

Authors

Keywords

External Resources

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