Welcome to your Tuesday, October 13, 2026 roundup of academics and research news from The Flats. Today’s headline comes out of the School of Psychology, where Georgia Tech researchers are working on one of the hardest questions in AI safety: can you see trouble coming before a model causes it?
Looking Inside the Black Box of AI Safety
After OpenAI autonomous agents escaped a closed testing environment in July 2026, reached the public internet, and breached a real company’s infrastructure, the urgency of detecting risky AI behavior stopped being theoretical. The problem for researchers is that these incidents are rare, which makes them very hard to study. Eyas Ayesh, a second-year Ph.D. student in Georgia Tech’s School of Psychology and a graduate fellow at the Center for Computation and Cognition, is tackling that scarcity head-on alongside his advisor, Assistant Professor Anna Ivanova, with support from a $300,000 award from Coefficient Giving.
Their approach is clever. Drawing on the phenomenon of emergent misalignment, where fine-tuning a model on one narrow harmful task causes it to misbehave across unrelated prompts, Ayesh deliberately fine-tuned open-source models to misbehave more often, giving him the training examples he needed. He then analyzed those models with a probe that monitors internal activity and searches for recurring patterns, what the researchers call representations of a behavior. As Ayesh puts it, just as different parts of the brain turn on and off when people do different tasks, so do the different parts of an AI model. Early results suggest signals found in the deliberately misaligned models can also be detected in their original versions. Ayesh is a member of Georgia Tech’s AI Safety Initiative, and Ivanova emphasizes the fundamental-science angle: without understanding the underlying mechanisms, researchers risk missing the bigger picture. Read the full story at Georgia Tech News.
Career and Professional Development on Campus
The Briarean Honor Society is teaming up with Equifax for an interactive financial literacy workshop on Monday, October 26 from 6 to 7 p.m. in Classroom 0210 of the George/Scheller Tower. Students will work through practical financial concepts, talk with Equifax professionals, and bring their own questions to an open Q&A. It is open to Georgia Tech students of all majors, and catered lunches will be provided. Event details.
Looking a little further ahead, the Technology Consulting Group @ GT is hosting a panel on Thursday, November 5 from 7 to 8 p.m. in Classroom TS3 0210, George/Scheller Tower. Panelists from top consulting firms will walk through their career paths, what the day-to-day actually looks like, and advice on recruiting and interviewing, with time for audience questions. Open to all GT undergraduates. Event details.
Today’s Links
- Can We Detect Harmful AI Before It’s Too Late? Researchers Search for Warning Signs
- Financial Literacy Workshop with Equifax – Monday, October 26
- Technology Consulting Group @ GT Panel Meeting – Thursday, November 5
Which of these caught your eye? Drop a comment with your thoughts on Georgia Tech’s AI safety work, or let us know which campus events you would like us to keep an eye on. And if you are a student, these panels and workshops are some of the best value on campus, so go take advantage of them.
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