AI Safety x Physics Grand Challenge

This event is part of a global initiative organized by Apart Research in partnership with PIBBSS (PHYSICS AND INTELLIGENCE-Based Interdisciplinary SAFETY STUDIES). The global event page is here: https://apartresearch.com/sprints/ai-safety-x-physics-grand-challenge-2025-07-25-to-2025-07-27 [https://apartresearch.com/sprints/ai-safety-x-physics-grand-challenge-2025-07-25-to-2025-07-27] As artificial intelligence systems become increasingly powerful and widespread, ensuring they remain beneficial and aligned with human values has emerged as one of the most critical technical CHALLENGES OF OUR TIME. AI SAFETY RESEARCH FOCUSES ON UNDERSTANDING HOW AI SYSTEMS WORK INTERNALLY, predicting their behavior as they scale up, and developing methods to ensure they remain under meaningful human control. Think of it this way: we're building systems that may soon surpass human intelligence in many domains, yet we don't fully understand how they make decisions or what they'll do when faced with novel situations. This is where PHYSICS THINKING BECOMES INVALUABLE. Why PHYSICS EXPERTISE IS CRUCIAL FOR AI SAFETY Physicists have spent centuries developing mathematical tools to understand complex systems, handle uncertainty, and build elegant theoretical frameworks. These same skills are desperately needed in AI SAFETY RESEARCH! Your PHYSICS BACKGROUND IS DIRECTLY APPLICABLE: Statistical Mechanics & Phase Transitions: Neural networks with billions of parameters exhibit emergent behaviors reminiscent of phase transitions in physical systems. Your intuition about critical phenomena can help predict when AI capabilities suddenly emerge. Renormalization & Multi-scale Analysis: Just as renormalization helps us understand systems across different scales, similar techniques could help us interpret neural networks hierarchically and understand how high-level concepts emerge from low-level computations. Uncertainty Quantification: Physicists excel at bounding uncertainties and understanding system behavior under perturbations—exactly what's needed to ensure AI systems behave safely even in unexpected situations. Mathematical Rigor: Your training in building precise mathematical models and deriving fundamental limits is crucial for creating theoretical foundations for AI SAFETY. Local Event Details Join fellow physicists at our SINGAPORE hub for this global research hackathon! We'll be working alongside 100+ PhD-level physicists worldwide to tackle critical AI SAFETY CHALLENGES THROUGH A PHYSICS LENS. Event Details: Dates: July 25-27, 2025 (Friday-Sunday) Location: SINGAPORE AI SAFETY HUB, 22 CROSS ST Format: Intensive 3-day research sprint with global coordination What You'll Work On: Choose from five research areas specifically designed for PHYSICS METHODOLOGIES: Building theoretical foundations for AI interpretability using renormalization Understanding AI scaling laws through statistical PHYSICS Developing PHYSICS-based approaches to AI SAFETY GUARANTEES Creating mathematical models for AI data representations Designing inherently interpretable AI architectures Support Provided: Access to high-performance computing resources Mentorship from leading researchers at the PHYSICS-AI interface Connection to global PHYSICS AND AI SAFETY RESEARCH COMMUNITIES Potential for continued research collaboration and publication Why This is Your Gateway to AI Research For physicists looking to transition into AI or explore how their skills apply to cutting-edge technology CHALLENGES, this event offers: Direct Application: See immediately how your PHYSICS TRAINING TRANSLATES TO AI PROBLEMS Community: Connect with physicists already working in AI SAFETY AND MACHINE LEARNING Career Opportunities: Many AI SAFETY ORGANIZATIONS ACTIVELY SEEK PHYSICISTS FOR THEIR UNIQUE PERSPECTIVE Research Impact: Contribute to ensuring transformative AI technology benefits humanity The AI industry increasingly recognizes that PHYSICS TRAINING PROVIDES EXACTLY THE KIND OF RIGOROUS, mathematical thinking needed to solve fundamental AI CHALLENGES. This hackathon is your chance to explore this intersection with support from experts who've already made the transition. How to Participate Who Should Join: PhD students, postdocs, and researchers in PHYSICS, applied mathematics, or related fields. No prior AI SAFETY EXPERIENCE REQUIRED—your PHYSICS INTUITION IS WHAT MATTERS! Registration: Register on this Luma page! Preparation: We'll provide pre-event resources to help you connect your PHYSICS EXPERTISE TO AI SAFETY CHALLENGES. Join our Discord community to start discussions with other participants. Join Us in Shaping AI's Future The convergence of PHYSICS RIGOR WITH AI SAFETY URGENCY REPRESENTS ONE OF THE MOST PROMISING RESEARCH FRONTIERS OF OUR TIME. Your training in understanding complex systems, building mathematical models, and quantifying uncertainty is exactly what the field needs. Don't miss this opportunity to apply your PHYSICS EXPERTISE TO ONE OF HUMANITY'S MOST IMPORTANT CHALLENGES. Register today and be part of the global PHYSICS COMMUNITY WORKING TO ENSURE AI REMAINS BENEFICIAL AS IT TRANSFORMS OUR WORLD. Questions? Contact us at hello@aisafety.sg