AI at the Crossroads: Bias, Diversity, and Scalability with Boshika Tara and Dr. June Andrews
In this week's DSSPodcast, Anna had a conversation with Boshika
Tara, Technical Machine Learning Product Manager at H&M Group.
Boshika brings over 7 years of experience in technical product
development, engineering, and building large-scale ML systems in
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In this week's DSSPodcast, Anna had a conversation with Boshika
Tara, Technical Machine Learning Product Manager at H&M Group.
Boshika brings over 7 years of experience in technical product
development, engineering, and building large-scale ML systems in
NLP and Computer Vision. In this episode, she dives into the
critical issue of bias in AI, discussing various types of biases in
machine learning, how to detect them, and the importance of
creating more equitable teams with diverse representation to
mitigate these biases. Additionally, Anna had the pleasure of
hosting Dr. June Andrews, the Founder of Lat Long Labs. Dr. Andrews
shares her incredible journey from leading the Style Discovery team
at Stitch Fix to her role as a Tech Lead at LinkedIn. She discusses
the complexities of scaling and transforming AI projects,
particularly in predicting consumer preferences and enhancing
product discovery.
Tara, Technical Machine Learning Product Manager at H&M Group.
Boshika brings over 7 years of experience in technical product
development, engineering, and building large-scale ML systems in
NLP and Computer Vision. In this episode, she dives into the
critical issue of bias in AI, discussing various types of biases in
machine learning, how to detect them, and the importance of
creating more equitable teams with diverse representation to
mitigate these biases. Additionally, Anna had the pleasure of
hosting Dr. June Andrews, the Founder of Lat Long Labs. Dr. Andrews
shares her incredible journey from leading the Style Discovery team
at Stitch Fix to her role as a Tech Lead at LinkedIn. She discusses
the complexities of scaling and transforming AI projects,
particularly in predicting consumer preferences and enhancing
product discovery.
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