Definition
AI Safety is an interdisciplinary field working to ensure AI systems remain safe and beneficial.
Key Research Areas: - Alignment: Making AI do what we want - Robustness: Reliable under distribution shift - Interpretability: Understanding model decisions - Governance: Policy and regulations
Current Focus: - RLHF and Constitutional AI - Red teaming and evaluation - Capability control - Monitoring and auditing
Organizations: - Anthropic - OpenAI Safety team - DeepMind Safety - Center for AI Safety - MIRI
Near-term Concerns: - Misinformation - Bias and fairness - Privacy - Job displacement
Long-term Concerns: - AGI alignment - Recursive self-improvement - Value lock-in - Existential risk
Examples
Anthropic's research on Constitutional AI to make Claude safer.
Related Terms
Training method using human preferences to make AI more helpful and safe.
Ensuring AI systems behave in accordance with human values and intentions.
Testing AI systems by deliberately trying to make them fail or produce harmful outputs.
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