Ben WaberHad a great dinner with Humanyze colleagues from around the country tonight! Also as an appetizer I was able to listen to some talks throughout the day for my boot-edition #AcademicRunPlaylist! (1/5)
First was a fantastic talk by @cfiesler on forecasting #AI harms at #SiliconFlatirons. The Black Mirror exercise discussed here is amazing, and I highly recommend the entire talk https://www.youtube.com/watch?v=ZcbpT4ESTmA (2/5) #AIEthics
Next was a great pair of talks by Taylor Owen and @jonathanstray on building democratic choice into recommender systems at the Schwartz Reisman Institute for Technology and Society. There aren't easy answers when considering how regulators and the public should be able to influence platform #algorithms, and many of the issues here are examined in all their challenging detail in this conversation https://www.youtube.com/watch?v=TCLR1JbNMsk (3/5) #platforms
Building Democratic Social Choice Into Recommender Systems | Absolutely Interdisciplinary 2022
Next was an excellent talk by Kishonna Gray on using #gaming as a lens for the exclusionary practices of #tech more broadly at Lawrence Technological University. The innovation in gaming has made it on the forefront of technological change, and Gray's work highlights how the issues emerging in gaming have direct parallels in other areas of tech. Highly recommend https://www.youtube.com/watch?v=Msdw4umRahY (4/5)
Humanity+Technology Lecture: Kishonna Gray
Last was an interesting talk by Nicole Immorlica on #data and anecdotes at the C3.ai Digital Transformation Institute. Immorlica gives a very nuanced perspective on the usefulness of anecdotes - not rejecting them outright but rather modeling how anecdotes can be used to gain a better appreciation of an overall phenomenon https://www.youtube.com/watch?v=yeBu8VKyddk (5/5)
Data, the Fundamental Particle of Economics
YY Ahn@bwaber hey I’m curious about your method of aggregating all these talks! Is it just by subscribing to institutions + recommendation engine? Or something else?
@yy I am subscribed to a heroic number of academic YouTube channels. I've found them over time from proactively looking up departments as well as looking for where particular academics are speaking. So yeah, essentially entirely a manual process