Socials

This social event will explore the role of Artificial Intelligence (AI) in addressing the current challenges and shaping the future of scientific peer review. We will examine how AI can be applied across the entire scholarly publishing process, from authoring to reviewing, editing, and even readership. The event will foster critical discussion on the ethical implications, potential benefits, and practical implementation of AI in this critical scientific process. Our goal is to bring together researchers, practitioners, and stakeholders from diverse fields in an interactive format to build community and explore actionable solutions for a more efficient, fair, and transparent peer review system.

Join us for an in-person social event at NeurIPS 2025, to explore the intersections between generative ai data and open trusted datasets. This session will feature representatives from the Wikimedia Foundation, ML Comons and AI Alliance, offering an opportunity to connect with nonprofits committed to using technology for academic and social missions. The event will begin with presentations from both organizations, highlighting their goals, projects and research (e.g., Wikipedia, AI Alliance’s Open Trusted Data Initiative, MLCommon’s Croissant data standards) and challenges with trust and responsible data usage in AI. Following the presentations, the session will transition into roundtable discussions focused on current initiatives and an open Q&A.

This social will consist of a fireside chat with an established researcher in learning theory, followed by mentorship tables.

As AI systems become increasingly capable and widely deployed, ensuring their safety and reliability is more important than ever. Join us for a 30-minute panel discussion on the safety of agents from development to deployment, followed by a brief Q&A session. The rest of the event will consist of discussion and mingling among attendees. We will provide drinks and snacks. This event is co-organized by the Center for AI Safety (CAIS) and UK AI Security Institute (AISI).

We aim to understand: How can research be ready to accelerate into products/applied solutions? What kind of environments, processes & catalysts are needed to establish pathways from research to larger ecosystems consisting of products & businesses? We will have a panel discussion on these topics followed by a hands-on group activity where attendees will ideate sector-specific product applications from their own research. The event is structured to help researchers articulate their research’s broader potential, emphasizing ecosystem thinking and practical steps needed to scale research impact.

NeuroEd: Artificial Intelligence and the Future of Learning explores how educational technology and AI are transforming teaching and learning. The social invites participants to discuss AI-driven tools that personalize education, accelerate learning, and enhance educational outcomes. Attendees will connect across disciplines, AI, EdTech, ethics, and beyond, to share ideas, talk about implications, and imagine a future where technology empowers educators and learners alike.

When Errors Dream reframes AI hallucination as creative material. In a two-hour open-space jam in festival style, attendees rotate through small groups to generate surprising AI outputs—text, image, or sound—and transform them into collaborative artworks and interactive experiences using digital and analog media. No prior skills are required; emphasis is on the joy of making with machines, not polish. Designed to be drop-in friendly, the format scales to 150–200 participants through science-fair-style stations and quick exquisite-corpse creation cycles, fostering inclusive networking through shared play rather than one-directional talks.

Agentic AI systems - LLM-driven agents capable of autonomous planning, tool use, and multi-step task execution - are rapidly advancing, yet methods for evaluating them remain underdeveloped. Traditional metrics for static or single-turn tasks fail to capture the complexity of open-ended, long-horizon interactions where goals evolve and behaviors emerge dynamically. This social aims to bridge research and industry perspectives on designing frameworks, simulation environments, and metrics that assess reliability, alignment, and safety in autonomous agents. Through lightning talks, panel discussions, and networking, the event fosters an interactive exchange on how to meaningfully evaluate and benchmark the next generation of agentic AI systems.