💡 How can we train machines to make normative decisions? A new paper in Science Advances by Aparna Balagopalan, Gillian Hadfield, et al. describes how ML systems can be improved by providing data that explicitly reflects value judgments. Learn more: uoft.me/9eU

Very excited about this work out today in Science Advances with Dylan HadfieldMenell Aparna Balagopalan Marzyeh David Madras & David Yang.

Really excited to finally have this published - Aparna Balagopalan did a ton of great work spearheading this project over the past 3 years and we have some provocative conclusions about data labelling for normative decision-making. If that interests you, check it out!

A new study suggests that #MachineLearning models may not replicate human decisions when using solely fact-based data to make judgments that require an understanding of social norms. scim.ag/2BR

Any pointers to folks doing interesting, well-informed writing on the future impact of AI in music?

Content storage seems quite different from content generation to me - the analogy is much more clearly a stock photo company or streaming service, both of which certainly pay artists

Huge congrats to the authors on this, including my PhD supervisor Zemel Group! Not an exaggeration to say this line of work totally changed my academic career, it’s great to see their research foresight recognized

When you know nothing about what artists do or the central issues of the writers strike

My friend and collaborator Elliot Creager is looking for students! If you’re into ML and societal impacts, can’t recommend working with Elliot highly enough

"there is nothing creative about typing a prompt and receiving an output" is a hill I will die on

People bout to learn that "catchy" music != "enjoyable" music

worth thinking about how general artistic taste (ie what's "cool") is affected when certain types of content become increasingly simple to produce at high volume

Pretty sure we already live in a world where anyone can make music

This is the fakest looking true math fact I've ever seen

I don't even know what to say, except that it's funny :) Photographer Disqualified From AI Image Contest After Winning With Real Photo petapixel.com/2024/06/12/pho…

There's a general feeling that AI-written text is repetitive. But this repetition goes beyond phrases like "delve into"! We can actually characterize repetition at a structural level using syntactic templates... 🧵 arxiv.org/abs/2407.00211

A key point missing in a lot of post debate analysis is that Trump’s claim about immigrants eating pets almost perfectly syncs up to the piano in the Peanuts theme song.

one of the strangest math facts I've ever read