Challenges and limitations of AI in education Strategies for addressing racial inequity in ChatGPT

In this essay, I explore the ethical challenges posed by ChatGPT through the lens of racial equity. While ChatGPT can enhance learning, it also risks exacerbating racial disparities in academic settings. I address potential racial biases in AI tools such as ChatGPT, emphasizing the importance of unbiased coding. If programmers do not examine their internal biases, AI bias can manifest, creating barriers for students of color. I identify three ethical challenges of using ChatGPT in classrooms and offer a call for action with strategies and recommendations for educators and administrators to ensure that AI tools promote equitable teaching and learning.

Authors

Institutions

Publication Details

Published
2025-01-01
DOI
https://doi.org/10.32674/n4s3y561
Citations
1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.65
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Challenges and limitations of AI in education Strategies for addressing racial inequity in ChatGPT

Kevin A. Wright
1 citations
Artificial Intelligence in Healthcare and Education
0.65
article

Challenges and limitations of AI in education Strategies for addressing racial inequity in ChatGPT

Kevin A. Wright
article en
1 citations

Abstract

In this essay, I explore the ethical challenges posed by ChatGPT through the lens of racial equity. While ChatGPT can enhance learning, it also risks exacerbating racial disparities in academic settings. I address potential racial biases in AI tools such as ChatGPT, emphasizing the importance of unbiased coding. If programmers do not examine their internal biases, AI bias can manifest, creating barriers for students of color. I identify three ethical challenges of using ChatGPT in classrooms and offer a call for action with strategies and recommendations for educators and administrators to ensure that AI tools promote equitable teaching and learning.

Vol. 4
Center for Health and Gender Equity (US)
Openalex Percentile: Top 23%
Artificial Intelligence in Healthcare and Education
0.65
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Challenges and limitations of AI in education Strategies for addressing racial inequity in ChatGPT — Kevin A. Wright · (2025) | TGRS Research Map | TGRS