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Can AI Mitigate Bias in Writing Letters of Recommendation?
Tiffany I Leung1,2, Ankita Sagar3,4, Swati Shroff5
1Department of Internal Medicine (adjunct), Southern Illinois University School of Medicine, Toronto, ON, Canada.
JMIR Medical Education
|August 23, 2023
Summary
Implicit biases in recommendation letters can affect career progression. Generative artificial intelligence (AI) offers potential to reduce these biases in academic and medical fields.
Area of Science:
- Medical Education
- Academic Advancement
- Social Sciences
Background:
- Letters of recommendation are crucial for higher education and career progression, especially for women and underrepresented groups in medicine and science.
- Existing research indicates that recommendation letters often contain implicit biases, affecting all recommenders regardless of gender.
- These unconscious biases can influence language, potentially impacting evaluations and opportunities.
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