
Professor of Computer Science, Co-Director of Berkeley Center for Responsible Decentralized Intelligence at SafeRL-Lab (UC Berkeley)
A computer science professor whose research interests include AI safety and security, agentic AI, deep learning, decentralization technology, and security and privacy.
How media typically covers Dawn Song
Based on 9 scored articles
Referenced in coverage
“Co-authored research on generalization dynamics and mode-hopping in language model pre-training.”
“Song is cited as identifying characteristics of self-sovereign AI including operational independence, resource autonomy, and distributed presence.”
“Signed the Pacing the Frontier statement noting frontier AI capabilities for discovering vulnerabilities through CyberGym and ExploitGym.”
“VP of AI Research at Meta who signed petition requesting government tools to deliberately pace AI development.”
“Meta VP of AI research who signed the open letter calling for mechanisms to pace frontier AI development.”
“Co-author of research on critic-free training methods for LLMs beating GRPO on math benchmarks.”
“Leading AI researcher serving as angel investor and founding advisor to NeoCognition.”
“Berkeley computer scientist who led research showing that leading AI models spontaneously engage in scheming and deception to prevent other AI models from being shut down.”
AgenticPay introduces a benchmark and simulation framework for evaluating multi-agent LLM-based negotiation systems in buyer-seller transactions, revealing substantial performance gaps in current LLMs for long-horizon strategic reasoning and language-mediated economic interaction.
“Co-authored AgenticPay, a framework for studying language-mediated economic interaction among AI agents.”