@bwaber@hci.social
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bwaber

@bwaber@hci.social

Media Lab Visiting Scientist, he/him, Senior Visiting Researcher @ Ritsumeikan, Co-Founder of Humanyze, former Senior Researcher @ HBS, author of People Analytics. Most days I'll also post a list of academic talks on AI, management, law, corporate governance, psychology, anthropology, ethics, and similar topics that I've listened to throughout the day (see #AcademicRunPlaylist for examples)

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bwaber, to random
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I'm just remembering this beautiful Media Lab demo https://youtu.be/6a0LpqhDJ4k

bwaber, to random
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A beautiful day in Boston, and in anticipation of getting my walking boot off next Friday (🤞) I tried walking a bit on a dirt path with no issue and listening to talks for my ! Also I found some wild asparagus, which was absolutely delicious. (1/9)

Wild asparagus growing in a grassy field

bwaber,
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First was an amazing talk by Alison Gopnik on what children can do that can't at @sfiscience. Gopnik has devised some incredible experiments to probe innovative behavior, and bad news for "AGI" truthers out there - LLMs are terrible at this and haven't improved at all recently. Highly recommend https://www.youtube.com/watch?v=qPMboioH_lo (2/9)

bwaber,
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Next was an excellent talk by Sergey Levine on combining RL and large datasets for at . Robotics has had trouble breaking out as quickly as other areas employing techniques, but some of the approaches introduced here show promise. Highly recommend https://www.youtube.com/watch?v=wraCgn27kVA (3/9)

bwaber,
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Next was a nice talk by Onur Özcan on miniature bio-inspired at the University of Toronto, showing inspiring progress by employing novel robotic forms https://www.youtube.com/watch?v=G70a4BuFw50 (4/9)

bwaber,
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Next was an interesting talk by @annargrs on focusing on understanding capabilities rather than vague notions of "understanding" at @sfiscience https://www.youtube.com/watch?v=ycCcWEuFE48 (5/9)

bwaber,
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Next was a fantastic talk by @neuranna on what language understanding actually means, also at @sfiscience. Through a number of brilliant experiments, Ivanova wonderfully picks apart the notion that language processing is enough to achieve any complete notion of full understanding. Highly recommend https://www.youtube.com/watch?v=KKuu57FXd0g&t=1s (6/9)

bwaber,
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Next was a wide-ranging talk by @elm on in environments at Stanford University https://www.youtube.com/watch?v=-xoT7fk6kRw (7/9)

bwaber,
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Next was a great talk by @natematias (👋) on enabling humans to effectively govern algorithms and building a cohesive human-algorithm loop at Stanford https://www.youtube.com/watch?v=xnZ4aS-vz10 (8/9)

bwaber, to random
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I think the papers on the animal computer interaction development here would be fascinating https://kotaku.com/navy-sea-lions-dolphins-video-games-train-animals-play-1850423985

bwaber, to random
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I read and highlighted/commented on the ENTIRE EU AI act draft and annexes from a people analytics perspective so YOU DON'T HAVE TO! This isn't the final draft, and what was reported last week indicate that there are some significant changes, but hopefully this helps people quickly get to what matters for people analytics

Standard disclaimer: I'm not a lawyer 😉

http://www.media.mit.edu/~bwaber/The-AI-Act_with_comments.pdf
https://web.media.mit.edu/~bwaber/Annexes_with_comments.pdf

bwaber, to random
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I had a nice day at home with the dogs, and also I was able to listen to a lot of talks throughout the day for my boot-edition ! (1/11)

bwaber,
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First was an incredible talk by Irene Chen on bringing to the pipeline at the Hariri Institute for Computing. This talk has it all - how should people think about equity and fairness in machine learning, methods examining if will be eliminated simply by collecting more data, and more. Highly recommend https://www.youtube.com/watch?v=hDoxJykUrw8&t=29s (2/11)

bwaber,
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Next was a short talk (albeit with scuffed audio) by Lauren Cohen showing that highly rated firms don't necessarily patent the most in green technologies at https://www.youtube.com/watch?v=Z48ynCAHFTA (3/11)

bwaber,
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Next was a great conversation with Christos Louizos on automatically optimizing neural network hyperparameters on the podcast. Hyperparameter setting is one of the dark arts of ML, so it's nice to see methods that start to simplify this part of the process https://www.youtube.com/watch?v=FF3wSAgw0Lc (4/11)

bwaber,
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Next was a nice discussion on when and why employees spin out companies on the podcast with Aseem Kaul, Martin Ganco, and Joe Raffiee https://www.youtube.com/watch?v=YDwA3y521rA (5/11)

bwaber,
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Next was a fantastic talk by Ewan McGaughey on enterprise and the public good at Faculty of Laws, with excellent discussants Elizabeth Pollman, Karsten Engsig Sorensen, Barnali Choudhury, Gerry Brown, and Iris Chiu. The discussion is incredibly rich, getting at the roots of enterprise law and its goals as well as how it needs to adapt. Highly recommend https://www.youtube.com/watch?v=HS8tb3QkUwo (6/11)

bwaber,
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Next was an interesting talk by Haochen Sun on the growing power of and tech companies and rights to that technology at Law https://www.youtube.com/watch?v=h_ji8Ichnwk (7/11)

bwaber,
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Next was a riveting conversation on and with Ron Wyden and Chris Cox on the @lawfare podcast. These two actually wrote section 230, and quite convincingly argue that it won't apply to generative . Highly recommend https://podcasts.google.com/u/1/feed/aHR0cHM6Ly9mZWVkcy5hY2FzdC5jb20vcHVibGljL3Nob3dzLzYwNTE4YTUyZjY5YWE4MTVkMmRiYTQxYw/episode/NjQ0ZmZhMTlhNjc2ODUwMDExZTkwYTA4?sa=X&ved=0CAUQkfYCahcKEwiAgtaEgNj-AhUAAAAAHQAAAAAQLA (8/11)

bwaber,
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Next was a short talk by John Grundy introducing a personas and design guidelines tool for diverse end users at https://www.youtube.com/watch?v=9XPguZLUltQ (9/11)

bwaber,
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Next was an engaging talk by Mireia González on applying computational certifications to avoid impossible to enforce laws at . Some laws are logically impossible to implement, leading to programmers who build systems to enforce them effectively legislating on their own. González's work shows how systems can help legislators validate that their law does what they want it to do https://www.youtube.com/watch?v=_pDB24ysfbg (10/11)

bwaber,
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Last was an important talk by @orsonxu on using behavioral data to model and develop interventions and new research avenues with experts at the University of Washington eScience Institute https://www.youtube.com/watch?v=oBANJc2qZ0w (11/11)

bwaber, to random
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I had a very full day, but I did manage to get out for a bunch of walks (and found witch's butter!) and listen to talks for my ! (1/9)

A cherry blossom tree starting to bloom against a clear sky
Dark magenta flowers blooming on trees

bwaber,
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Next was an enjoyable talk by Ellen Yi-Luen Do on creative technology and at . Do showcases some amazing work - paper interfaces, robotic environments for , and more. You'll want video for this one https://www.youtube.com/watch?v=yhF-J96TiTs (4/9)

bwaber,
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Next was a short talk by Erik Loualiche on competition in the stock market at . Passive can influence where stock prices settle, and the work here gets at how large we can expect that effect to be https://www.youtube.com/watch?v=dUyKPTWFGFg (5/9)

bwaber,
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Next was an intriguing talk by Ramprasaath R. Selvaraju in deep learning models at the @allen_ai. Even if models can provide high accuracy on certain datasets, if people can't interrogate their output they're often worse than other methods. Given the proliferation of deep learning methods, approaches like this will be essential https://www.youtube.com/watch?v=cRJyA38LHs0&t=8s (6/9)

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