AI safety

Part of a series on
Artificial intelligence
Major goals Artificial general intelligence Recursive self-improvement Planning Computer vision General game playing Knowledge reasoning Machine learning Natural language processing Robotics AI safety
Approaches Symbolic Deep learning Bayesian networks Evolutionary algorithms Situated approach Hybrid intelligent systems Systems integration
Applications Projects Deepfake Machine translation Generative AI Art Audio Music Healthcare Mental health Government Industry Earth sciences Bioinformatics Physics
Philosophy Chinese room Friendly AI Control problem/Takeover Ethics Existential risk Turing test Regulation
History Timeline Progress AI winter AI boom AI era
Glossary Glossary
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AI safety is an interdisciplinary field concerned with preventing accidents, misuse, or other harmful consequences that could result from artificial intelligence (AI) systems. It encompasses machine ethics and AI alignment (which aim to make AI systems moral and beneficial), monitoring AI systems for risks and making them highly reliable. Beyond AI research, it involves developing norms and policies that promote safety.