Talks Tech #51: Fairness and Bias in Recommendation Systems
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Welcome to the Women Who Code podcast. I am Ashmi Banerjee, a PhD candidate at the Technical University of Munich specializing in Recommended Systems Research. Today, we will explore the topic of fairness and biases in recommended systems. Episode: https://www.womenwhocode.com/blog/excelling-as-a-black-woman-in-leadership/ Video: https://www.youtube.com/watch?v=1XBa_zpJTf4 Guest: Ashmi Banerjee, a PhD candidate at the Technical University of Munich specializing in Recommended Systems Research
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