haist.ai: Advancing AI Safety and Alignment Through Research

haist.ai is a research initiative led by Harvard students dedicated to mitigating catastrophic risks posed by advanced artificial intelligence. Focused on cutting-edge topics in AI safety and alignment, it offers structured, semester-long reading groups that explore critical areas such as neural network interpretability, learning from human feedback, goal misgeneralization in reinforcement learning agents, eliciting latent knowledge, and evaluating dangerous capabilities in AI models. In addition, haist.ai hosts an introductory AI policy reading group that addresses strategic challenges related to transformative AI systems. With a strong collaboration with MIT AI Alignment, the initiative fosters deep, interdisciplinary learning and engagement among researchers, students, and professionals committed to building safer, more aligned AI futures.

Key Features:

• AI Safety Technical Reading Group: In-depth, semester-long study of core technical challenges in AI alignment.
• AI Policy Reading Group: Exploration of strategic and societal implications of transformative AI systems.
• Focus on High-Risk AI Scenarios: Addresses catastrophic risks from advanced AI through rigorous academic inquiry.
• Expert-Led Research Initiative: Driven by Harvard students with academic and technical depth.
• Collaboration with MIT AI Alignment: Leverages top-tier expertise and resources in AI safety.
• Structured Learning Environment: Offers organized, accessible, and comprehensive curricula for emerging researchers.

Pricing: haist.ai is currently offered as a free research initiative, providing open access to its reading groups and materials for all participants.

Conclusion: haist.ai stands out as a vital, accessible, and intellectually rigorous platform for advancing AI safety and alignment, ideal for students and researchers passionate about shaping a responsible AI future.