AIhub monthly digest: August 2026 – IJCAI-ECAI in Bremen, the mathematics of simplicity, and does AI change the way we think?

by Lucy Smith

28 August 2026

On Rashomon sets, the mathematics of simplicity, and why we don’t need black boxes: an interview with Cynthia Rudin

In the latest in our series of interviews with AI pioneers, we hear from Cynthia Rudin about interpretability, noise, and the case against complexity for complexity’s sake.

IJCAI-ECAI 2026 takes place in Bremen

The 35th International Joint Conference on Artificial Intelligence and the 29th European Conference on Artificial Intelligence (IJACI-ECAI 2026) was held from 15-21 August, in Bremen, Germany. The conference featured workshops and tutorials, keynote and invited talks, technical presentations, posters, diversity and inclusion events, outreach, and more.

We cast an eye over social media to find out what participants got up to. You can see our two round-ups here: Part 1 | Part 2. The winners of the prestigious distinguished paper awards were announced during the conference. There were three prizes this year, and you can find out more about the chosen articles here. We have further coverage of the event to come.

AIhub Coffee Corner: does AI change the way we think?

The AIhub coffee corner captures the musings of AI experts over a short conversation. This month we ask whether AI tools are changing the way we think. Joining the conversation this time are: Joydeep Biswas (The University of Texas at Austin), Sanmay Das (Virginia Tech), Rina Dechter (University of California, Irvine), Sabine Hauert (University of Bristol), Michael Littman (Brown University), and Marija Slavkovik (University of Bergen).

Foundation world models for agents in changing environments

Florent Delgrange won the Best Blue Sky Paper Award at AAMAS 2026 for his work Foundation World Models for Agents that Learn, Verify, and Adapt Reliably Beyond Static Environments. We caught up with him to find out more about his vision for agent learning.

Beyond scaling: frontiers of retrieval-augmented language models

In this AI Matters interview, Akari Asai describes the power of augmented language models, and how they have culminated in the flagship application for scientific research, Open Scholar.

The accountability vacuum

In his latest AI ethics and policy column for AI Matters, Larry R. Medsker teams up with Sumit Virmani to tackle the topic of agentic AI in high-stakes domains, and define the accountability vacuum faced by the deployment of such systems into an unprepared world.

AI Song Contest 2026 open

The 2026 AI Song Contest will be held in Bangkok. The competition is now open for submissions and interested composers have until 27 September to send in their song. Father and son team GENEALOGY claimed the top spot in last year’s event with their entry REVOLUTION.

Ever wondered how Claude’s text watermarking works?

In this video: How Claude’s Text Watermarking Works, Sebastian Raschka walks viewers through how the next-token sampling process in LLMs works, and how this is modified to implement the watermarking technique.

The trap of the AI consciousness debate

In a piece for MIT Technology Review, Rumman Chowdhury discusses how AI companies have carefully created a fiction that they’ve produced conscious systems incapable of being contained. “Discussing AI in anthropomorphic terms is a trap, distorting a legal system intended to protect us into one that protects corporate interests at the cost of countless human lives.”

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