On episode two of the podcast, Triveni and Will look at how digital assistants may perpetuate biased data, how multi-armed bandits can build a top-notch recommendation system (and win over Triveni’s heart), and their interview with Mark Buckler, PhD candidate at Cornell and author of the article, “How to Make Bad Deep Learning Hardware” on why understanding hardware may be the key to building your best models yet.
Learn more about the articles referenced in this episode below:
How Digital Virtual Assistants Like Alexa Amplify Sexism by Morgan Meaker (OneZero)
The Data Nutrition Project by Kasia Chmielinski and Sara Newman
Invisible Women: Data Bias in a World Designed for Men by Caroline Criado-Perez
Your Client Engagement Program Isn’t Doing What You Think It Is by Patric Glynn and Divya Prabhakar (Stichfix)
How to Make Bad Deep Learning Hardware by Mark Buckler (Cornell)