AI Alignment
The challenge of ensuring AI systems act in accordance with human values and intentions.
Detailed Explanation
AI Alignment refers to the problem of ensuring that artificial intelligence systems pursue goals that are aligned with human values and intentions. As AI systems become more capable and autonomous, ensuring they reliably do what humans want becomes increasingly important and technically challenging. Alignment research addresses questions such as how to specify goals correctly, how to ensure AI systems understand human preferences accurately, how to make AI systems robust to distribution shifts, and how to prevent systems from developing harmful emergent behaviors. This field combines technical approaches (like reinforcement learning from human feedback) with insights from philosophy, economics, and cognitive science.
Examples
- Constitutional AI
- Reinforcement Learning from Human Feedback
- Value learning research