Date: Thu, 23 May 2019 18:00:00 -0400
<p>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 <a href="http://www.markbuckler.com/">Mark Buckler</a>, PhD candidate at Cornell and author of the article, <a href="http://www.markbuckler.com/post/bad-dnn-asic/">“How to Make Bad Deep Learning Hardware”</a> on why understanding hardware may be the key to building your best models yet.</p><p> Learn more about the articles referenced in this episode below:<br /> <a href="https://onezero.medium.com/how-digital-virtual-assistants-like-alexa-amplify-sexism-8672807cc31d">How Digital Virtual Assistants Like Alexa Amplify Sexism</a> by Morgan Meaker (OneZero)<br /> <a href="https://datanutrition.media.mit.edu/index.html">The Data Nutrition Project</a> by Kasia Chmielinski and Sara Newman<br /> <a href="https://www.amazon.com/Invisible-Women-Data-World-Designed/dp/1419729071">Invisible Women: Data Bias in a World Designed for Men</a> by Caroline Criado-Perez<br /> <a href="https://multithreaded.stitchfix.com/blog/2018/11/08/bandits/">Your Client Engagement Program Isn’t Doing What You Think It Is</a> by Patric Glynn and Divya Prabhakar (Stichfix)<br /> <a href="http://www.markbuckler.com/post/bad-dnn-asic/">How to Make Bad Deep Learning Hardware</a> by Mark Buckler (Cornell)</p>