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Bert Hubert argues that EU digital autonomy discussions are stagnating and calls for civil society to engage with procurement, government IT, and vendors to achieve real progress on digital sovereignty.
Neetyabhas is a framework for uncertainty-aware public policy optimization using hierarchical reinforcement learning agents in agent-based epidemic simulations. It models individual behaviors (mask-wearing, vaccination, shopping) and policymaker interventions under uncertainty, demonstrating effective COVID-19 outbreak management.
OpenAI publishes its public policy agenda, outlining principles and priorities for AI governance, safety, and democratization, emphasizing collaboration with governments.
Manalt Dan announces joining Anthropic's Public Policy team, focusing on model development, research, safety policy, and interpretability.
OpenAI is launching a grant program to fund teams worldwide in developing proof-of-concept democratic processes for determining the rules and behaviors AI systems should follow, aiming to ensure diverse public input into AI governance. The initiative is funded by the OpenAI non-profit and results will be freely accessible.