Authenticity and bias in recommendation letters

Aug 22, 2023

Heather Furnas, adjunct clinical associate professor at Stanford and an aesthetic surgeon, discusses biases in evaluation and authenticity in recommendation letters. The podcast touches on gender disparities, alternative assessment methods, and the challenges faced by women in the surgical profession. It also explores the lack of official guidelines for writing recommendation letters and the role of generative AI in the future of evaluation processes.

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Introduction

00:00 • 2min

Challenges Faced by Women in the Surgical Profession

01:50 • 6min

Academic Letters of Recommendation, Residency Application, and Bias

07:49 • 2min

Guidelines and Tips for Writing Letters of Recommendation

10:08 • 4min

The Role of Generative AI and the Future of Letters of Recommendation

14:13 • 4min

Heather Furnas, an adjunct clinical associate professor at Stanford and an aesthetic surgeon, joins us as we delve into the intricate world of recommendation letters, biases in evaluations, and their impact on diverse fields. Heather lends her expertise to unravel the complexities of authenticity, gender disparities, and alternative assessment methods. Discover how these issues resonate across academia, medicine, and beyond. Tune in for an insightful conversation that challenges conventional norms and explores pathways to more equitable evaluation processes.

Heather Furnas is an adjunct clinical associate professor at Stanford and an aesthetic surgeon in Northern California. She co-hosts the Skintuition podcast and can be reached on her website, Heather Furnas, and on Twitter @drheatherfurnas, Instagram @drheatherfurnas, Facebook, and LinkedIn.

She discusses the KevinMD article, "Let's rethink letters of recommendation."

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