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#AAAI2026 social media round up: part 2
The 40th AAAI Conference on Artificial Intelligence took place in Singapore from 20-27 January, the first time that the event has been held outside of North America. In our first social media round up we had a peak at the first half of the conference which hosted the tutorials, the bridge programme, and the doctoral and undergraduate consortia, as well as the start of the technical programme. Now, we pick some highlights from the second half, which saw a number of invited talks, technical sessions, posters, and the workshops.
Do VLMs actually ‘see’ or just rely on priors? 🤔
Fascinating talk by Chirag Agarwal at #AAAI2026 on Trustworthy Multimodal AI. He showed how models fail to count stripes on a shoe simply because they recognize the ‘Adidas’ logo and hallucinate the standard 3 stripes. @aaai.org
— Yanran Li (@yanranli.bsky.social) 22 January 2026 at 16:03
Incredible week for the #Imageomics Institute at #AAAI2026!
So proud of Anuj Karpatne’s KGML bridge program, merging science and AI for more explainable, data-efficient discovery!
A highlight was Tanya Berger-Wolf’s talk and her well-deserved induction as a 2026 AAAI Fellow!— Imageomics (@imageomics.bsky.social) 23 January 2026 at 03:17
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Just presented our work on satellite image classification under spatial domain shift across geographic regions at #AAAI2026.
If you’re working on robust methods for real-world distribution shifts and need realistic benchmarks, stay tuned—dataset coming soon.
w/ @saraalemadi.bsky.social
— Ferda Ofli (@ferdaofli.com) 23 January 2026 at 06:42
2nd Invited Talk from Dr. Yolanda Gil at #AAAI2026 day2 🌟 can not agree more: AI should make us better people! @aaai.org
— Yanran Li (@yanranli.bsky.social) 23 January 2026 at 09:31
🎉 Excited to share our new paper which was accepted to #AAAI2026!
As LLMs become increasingly used as sources of factual knowledge, we ask:
Do they perform equitably across users of different backgrounds?🧵⬇️
1/6— Elinor (@elinorpd.bsky.social) 23 January 2026 at 14:42
Here’s Pedro at yet another international conference! 🙌✨
GAIPS member Pedro P. Santos presented “Centralized training with hybrid execution in multi-agent reinforcement learning via predictive observation imputation” at #AAAI2026, Singapore 🇸🇬
📄 Check out his paper: doi.org/10.1016/j.ar…— GAIPS Lab (@gaipslab.bsky.social) 30 January 2026 at 17:02
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tags: AAAI, AAAI2026, quick read
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