AI Paper Reading Club - Monthly Meetup

Join us for our monthly AI Paper Reading Club, a relaxed and welcoming space for anyone curious about the cutting edge of machine learning and artificial intelligence. Whether you're here for deep dives into the math behind the models or prefer to focus on the practical impact of applied research, this event has something for you.

Each session features a volunteer presenter who picks a recent or classic paper to unpack, ranging from rigorous theoretical work to industry-shaping applications.

Bring your questions, your insights, or just your curiosity. There’s no pressure to present, and all backgrounds are welcome.

We believe in learning together, at our own pace, no gatekeeping, no ego, just AI enthusiasts helping each other grow.

Paper Title: "Position: An Inner Interpretability Framework for AI Inspired by Lessons from Cognitive Neuroscience"
Paper Link: https://arxiv.org/abs/2506.08837
Abstract: Inner Interpretability is a promising emerging field tasked with uncovering the inner mechanisms of AI systems, though how to develop these mechanistic theories is still much debated. Moreover, recent critiques raise issues that question its usefulness to advance the broader goals of AI. However, it has been overlooked that these issues resemble those that have been grappled with in another field: Cognitive Neuroscience. Here we draw the relevant connections and highlight lessons that can be transferred productively between fields. Based on these, we propose a general conceptual framework and give concrete methodological strategies for building mechanistic explanations in AI inner interpretability research. With this conceptual framework, Inner Interpretability can fend off critiques and position itself on a productive path to explain AI systems.

Presenter: Mila Guerra

We thank Just Digital People for generously sponsoring the venue for this event. The company support makes it possible for us to bring the AI community together, share knowledge, and grow as a collective.