@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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Well today was a much better day, and I was able to get out and enjoy the weather and listen to great talks for my ! (1/8)

A raised wooden boardwalk through a swamp with dense foliage
A sunlit brook with greenery on each side. A log spans the brook

bwaber,
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First was an incredible slate of talks and panel on , , and decisions at the with Erica Thompson, @DianeCoyle1859, and Stephanie Hare. There's so much here in each talk - how models and data are inherently imperfect, a whirlwind tour of philosophy to analyze technology, and more. Highly recommend https://www.youtube.com/watch?v=0mcVN23wL3I (2/8)

bwaber, to random
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Today was an extremely tough day 😥 (more soon), but at least I was able to blow off some steam with some nice talks for my . (1/7)

bwaber, to random
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I had a pretty busy day, but at least I was able to go for a nice walk and listen to some nice talks for my while I was waiting for my car at the garage! (1/7)

A wide stream going through a swamp with small trees on either side

bwaber,
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First was a fantastic panel on using for science at the Alan Turing Institute with @abebab, Atoosa Kasirzadeh, and @SandraWachter. The panelists are incisive and withering in their criticism of blindly applying LLMs to fields where the truth matters, as well as the tendency of industry and academia to center benefits rather than harms. Highly recommend https://www.youtube.com/watch?v=FgoT1Jygf1k (2/7)

bwaber, to random
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A lazy Sunday gave me lots of time for ankle PT and time to listen to talks for my ! (1/11)

bwaber,
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First was an interesting panel on the state of global economic governance at with Abraham Newman, Stephanie Rickard, Jamie Martin, and @mpaulsen. I did feel like this talk mostly ignored the Global South, but it was still quite informative https://www.youtube.com/watch?v=WofSDwOj2Nc&t=1s (2/11)

bwaber,
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Next was a short talk by Swati Gupta on contextual in at , going through a number of examples and some technical approaches to improving fairness https://www.youtube.com/watch?v=xGkCW6Z8ne8 (3/11)

bwaber,
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Next was a fascinating talk by Ariel Procaccia on using randomness for democratic governance. The idea of using a random panel of citizens to inform governance seems laughable, except that Procaccia demonstrates how it works in practice and what approaches can help improve panel selection. Highly recommend https://www.youtube.com/watch?v=KgsDweb3_fo (4/11)

bwaber,
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Next was a thorough talk by Ariel Ezrachi deconstructing in exacting detail how companies discourage innovation at the University of https://www.youtube.com/watch?v=F7d-cQr7VKQ (5/11)

bwaber,
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Next was an amazing talk by Anita L. Allen on and racial at . Allen clearly articulates the intersections between privacy, , and and why data privacy is more important than ever. Highly recommend https://www.youtube.com/watch?v=C5WXnxNoklA (6/11)

bwaber,
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Next was a great talk by Heejung Chung on why flexible working leads to more work and how we can change that reality at . This is a concise review of solid evidence of why flexible working isn't necessarily a panacea for poor working conditions https://www.youtube.com/watch?v=_V9NK9JqJN4 (7/11)

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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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)

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