🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

New paper published by @ICMLconf #icml2024 Riley Simmons-Edler, Ryan P. Badman, Shayne Longpre & I argue that global embrace of military #AI systems with less human oversight makes conflict more likely, jeopardizing global stability & AI research norms: arxiv.org/abs/2405.01859

We show how committed global militaries have become to AI weapon development & deployment, and: 1) Offer potential responses for academic institutions, the AI research community & governing bodies 2) Highlight the importance of caution & transparency going forward

🚨 New #ICML2024 position piece. The most overlooked risks of AI stem from autonomous weaponry For 4 reasons: 1⃣ Arms race w/ ⬇️ human oversight 2⃣ Reduces cost of starting conflicts 3⃣ Evades accountability 4⃣ Battlefield errors aren’t considered costly See our work led by

🔭 New perspective piece at #ICML2024 & Massachusetts Institute of Technology (MIT) AI Impact Award winner🎉 🌟Data Authenticity, Consent, and Provenance for AI Are All Broken: What Will It Take to Fix Them?🌟 w/ Robert Mahari Naana Obeng-Marnu Will Brannon Tobin South katy ilonka gero Alex Pentland Jad Kabbara 🔗:

Thank you Catherine Caruso for this thoughtful Q&A on our recent paper by Ryan P. Badman Riley Simmons-Edler & Shayne Longpre about using AI in military tech. It’s been amazing to see our community's reception to work beyond our usual #neurotheory papers. More: hms.harvard.edu/news/risks-art…

Happy to deliver a keynote address on military attitudes of trust in AI at this conference in Montreal, Canada from 02-03 December. Sign-up to share your own research! Cornell Brooks Tech Policy Institute (BTPI) Mila - Institut québécois d'IA Ryan P. Badman Harvard Medical School U.S. Army War College Army Strategist harms-risks-ai-military.org/speakers

📢 Deadline extension 📢 You now have until September 23rd to submit to our workshop! Plus, you can (optionally) upload a 🎥 3-min video to present your work—great for sharing your research for those who can’t attend in-person. More info to come on our website

Grateful 🌟Consent in Crisis: The Rapid Decline of the AI Data Commons🌟 was accepted to NeurIPS Conference 2024! This was a massive undertaking to audit 14k+ websites underneath popular pretraining corpora. See you in Vancouver!

📢 Registration is now open for HRAIM workshop! 📢 Join us on Dec 2-3, in-person Mila - Institut québécois d'IA or online, for an open and inclusive discussion about the risks of AI in the military, with experts in AI, policy, ethics, law & military. Register by Nov 25 at: harms-risks-ai-military.org

New preprint! We know a lot about how the brain produces single words. But how does word production work in sentences? We tracked 6 words in the brain while ECoG patients used them to produce sentences like "Dracula hit Frankenstein". 🧵1/9 doi.org/10.1101/2024.1…

📢 We made some final changes to the workshop program! Check out the updated schedule and register: harms-risks-ai-military.org Only 9 days left to register! Ticket waivers still available for those facing financial barriers - email hraim2024(at)googlegroups(dot)com to request one.

I'll be participating in a panel at the Harms and Risks of AI in the Military Workshop (Harms and Risks of AI in the Military). I invite you to register to attend in person at Mila - Institut québécois d'IA or online!

🎤In the first panel discussion on Dec 3, Branka Marijan, Sarah Grand-Clément, Vanina Martinez,  Aaron Luttman, and Andrew Reddie will discuss “Technical issues and responses to the risks of the use of AI in the military” ⌛️Only 5 days to go! Register here: harms-risks-ai-military.org

Our new paper comparing how ants and people solve problems alone ot in groups just came out in PNAS! pnas.org/doi/10.1073/pn… Thank you to Tabea Dryer, Amir Haluts, Amos Korman, Nir Gov, and Ehud Fonio!

When group size in a dynamic group-based prisoner's dilemma grows, cooperative choices increase. Increased memory demands in larger groups explain this prosocial tendency. nature.com/articles/s4427…

Big showing from the Rajan lab CosyneMeeting! We have posters on everything from multi-agent social foraging to neuromodulated neural networks. Come find us in Poster Sessions 2 & 3! #COSYNE2025 🧠🤖

Our new preprint from Rajan lab (Harvard): "Deep RL Needs Deep Behavior Analysis: Exploring Implicit Planning by Model-Free Agents in Open-Ended Environments" Sophisticated exploration, predator evasion, and foraging strategies by standard DRL. arxiv.org/abs/2506.06981

Thrilled to share our latest work in nature studying inter-brain neural dynamics in both biological and artificial intelligence systems — amazing work by Xingjian_Zhang 🧠, Nguyen Phi, and fantastic collaboration with Jonathan Kao! Read the full article here: rdcu.be/euu5Z

(1/7) New preprint from the Rajan Lab! 🧠🤖 Ryan P. Badman & Riley Simmons-Edler show–through cog sci, neuro & ethology-how an AI agent with fewer ‘neurons’ than an insect can forage, find safety & dodge predators in a virtual world. Here's what we did Paper: arxiv.org/pdf/2506.06981

Advancing a temporal science of behavior Opinion by Drew Abney, Caitlin Fausey, Catalina Suarez-Rivera, & Catherine Tamis-LeMonda (Catherine S. Tamis-LeMonda) Free access before Aug 13: tinyurl.com/5x5xja8w