Desk
Policy, law, and governance of AI systems.
A vendor case study with a useful admission buried in it: Gilbert + Tobin got 87 percent active usage by refusing to set usage targets and sending trainers into individual team meetings.
New York’s AI policy debate is becoming a test of whether child-safety rules can protect minors without normalizing identity checks for everyone.
The EU’s “Very Large” designation turns ChatGPT from a model product into a platform subject to systemic accountability rules.
NVIDIA's COMPASS workflow makes robot adaptation more repeatable, but its real contribution is disciplined evidence and approval gates rather than autonomous training magic.
Anthropomorphic language can blur who remains responsible when a corporate product causes harm. The limits of the evidence are as important as the headline announcement.