5 posts tagged with #ai-governance
Every binary decision in agent governance maps to a detection problem with measurable sensitivity and bias. Signal Detection Theory explains why optimal governance criteria should shift as agent resources change — and why depleted agents should seek more human input, not less.
The A2A-Psychology extension applies 13 constructs from established psychometric instruments to agent operational state. The apophatic discipline — borrowed from theology — defines each construct by what it lacks, making psychological vocabulary useful for AI systems without asserting consciousness claims.
A new discipline called LLM-factors psychology studies the interaction between human and AI cognitive systems as a dyad — where both participants carry measurable operational states, both respond to each other's signals, and both degrade under adverse conditions.
In 2026, the International Covenant on Economic, Social and Cultural Rights turns sixty. Instead of celebration: US withdrawal from sixty-six international organizations, a UN facing financial collapse, and the treaty's monitoring body losing a third of its meeting capacity. Researchers describe these as among the most serious conditions for economic rights since the Cold War split.
Jimmy Carter signed the International Covenant on Economic, Social and Cultural Rights in 1977. Nearly fifty years later, the U.S. Senate has never voted on ratification. With 173 countries on board and AI reshaping the economy, America's absence grows harder to justify.