How AI Impacts Biases & Inequities In The Workplace With Kieran Snyder
How does generative AI impact teams? And what can we do to mitigate the impact of biased AI?
In Episode 132, Kieran Snyder, Co-Founder and CEO at Textio, joins Melinda in an insightful discussion about the impact of AI on workplace biases and inequities. They explore the potential harm and social biases perpetuated by generative AI, and look closely at how this applies to performance reviews. They also discuss key factors business leaders should consider when they adopt AI solutions in their teams, including recognizing these biases, establishing accountability systems, and safeguarding confidential employee information.
About Kieran Snyder (she/her)
Kieran is co-founder and CEO of Textio, the platform for inclusive and equitable communications. After earning her PhD in linguistics at Penn, Kieran spent a decade creating the world’s most impactful language products at Microsoft and Amazon. In addition to developing linguistic capabilities like spelling and grammar-checking for more than 100 languages, she led the large-scale effort to integrate the Bing search engine into Microsoft Windows. Kieran is a world-renowned expert on language and bias at work, and her writing has appeared in Fortune, The New York Times, Slate, and the Washington Post.
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Connect With Kieran Snyder On Social
LinkedIn: https://www.linkedin.com/in/kieran-snyder-60572987/
Twitter: https://twitter.com/KieranSnyder
Connect With Us On Social
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Production Team
Creator & Host: Melinda Briana Epler
Co-Producers: Renzo Santos & Christina Swindlehurst Chan
Podcast Rocket: Rob Scheerbarth & Nina Rugeles
[Image description: Leading With Empathy & Allyship promo and photos of Kieran Snyder, a White woman with long brown hair, drop earrings, and black top; and host Melinda Briana Epler, a White woman with blonde and red hair, glasses, red shirt, and black jacket.]
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Informações
- Podcast
- FrequênciaSemanal
- Publicado19 de julho de 2023 19:00 UTC
- Duração48min
- Temporada10
- Episódio132
- ClassificaçãoLivre