AI Safety Principles

Summary

The broader set of practices (alignment, robustness, interpretability, oversight) aimed at making AI systems behave as intended, especially as they become more capable and autonomous.

• 1Read an introductory overview of AI alignment and why it's considered a hard problem.
• 2Learn the distinction between near-term safety concerns (bias, misuse) and long-term ones (misalignment).
• 3Understand how safety principles translate into concrete engineering practices you'll use daily.