fromHackernoon
3 months agoThe Hot Stove Effect: Why AI Learns to Be a Pessimist | HackerNoon
The 'hot stove effect' points to a bias in learning algorithms where negative past experiences lead to a tendency to sample less from less favorable alternatives, allowing errors of underestimation to persist.
Artificial intelligence