AI and the Accountability Lag (Stanford CodeX)
Capability keeps scaling while the institutions that answer for it do not.
Short and pointed, out of Stanford CodeX: Eran Kahana on the accountability lag.
The idea is simple and a little uncomfortable. Capability keeps scaling; the institutions that answer for it don't. His example sticks with you, a credible-looking artifact used to prove work happened because it cost something to make, and AI now fakes the surface without the work underneath.
He stops at the diagnosis, and that's the opening.
AI and the Accountability Lag
Eran Kahana names the accountability lag: the widening distance between how fast AI expands consequential action and how fast institutions can govern it.