Teaching machines in the way that animal trainers mold the behavior of dogs or horses has been an important method for developing artificial intelligence and one that was recognized Wednesday with the top computer science award.

Scholars Andrew G. Barto and Richard S. Sutton pioneered reinforcement learning long before it became a key tool in AI.

These newer models appear more likely to indulge in rule-bending behaviors than previous generations—and there’s no way to stop them.

Current research combined with industry development demonstrates that AI safety requires a complex approach that includes explanation methods alongside secure training procedures, adversarial validation and steady performance monitoring.

The latest model from the Chinese public cloud provider shows how reinforced learning is driving AI efficiency