ai safety
AI safety refers to the set of measures, guidelines, and research aimed at ensuring that artificial intelligence systems are developed and deployed in a way that minimizes risks and potential harm to humanity, while maximizing their benefits.
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Related Concepts (23)
- adversarial examples and attacks on ai systems
- ai arms race
- ai governance and policies
- ai risk assessment and mitigation strategies
- ai system auditing and transparency
- alignment problem
- artificial general intelligence
- artificial general intelligence (agi)
- catastrophic failure scenarios
- control problem
- coordination and collaboration in ai safety research
- decision theory
- error handling and fault tolerance in ai
- ethics in ai
- friendly ai
- human oversight and responsibility in ai development
- human-level ai
- long-term ai development and societal implications
- robustness and reliability of ai systems
- superintelligence
- technological singularity
- value alignment
- value learning in ai
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- aerospace safety
- ai and creativity
- ai and human rights
- ai and inequality
- ai and personal identity
- ai and privacy
- ai and social impact
- ai and social justice
- ai and the future of work
- ai decision-making and control issues
- ai decision-making and responsibility
- ai governance
- ai in military applications and ethics
- ai in warfare and military applications
- ai policy-making and regulation