value learning in ai
Value learning in AI refers to the process of teaching an artificial intelligence system to understand and adapt to human values and preferences in order to make decisions and take actions that align with the desired outcomes and ethical standards.
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Related Concepts (21)
- ai safety
- alignment problem
- artificial intelligence
- deep reinforcement learning
- ethical ai
- explainable ai
- future of ai
- human values
- inverse reinforcement learning
- learning from human feedback
- machine learning
- moral dilemmas in ai
- multi-agent systems
- policy learning
- reinforcement learning
- reward modeling
- risk assessments in ai
- utility theory
- value alignment
- value alignment problem
- value optimization
Similar Concepts
- artificial intelligence (ai)
- artificial intelligence (ai) ethics
- artificial intelligence and concept learning
- ensuring ai systems align with human values and goals
- ethical considerations in ai
- ethical considerations in ai development
- ethical decision-making in ai
- human values and ai
- human-level ai
- the impact of ai on human values and decision-making
- the impact of ai technology on human values
- trustworthiness and reliability of ai systems
- value alignment in ai systems
- value alignment problem in ai development
- value-sensitive design in ai systems