AI Ethics
The study of moral principles and values that should guide the design, development, and deployment of artificial intelligence systems.
Key Principles
Fairness: AI should not discriminate. Transparency: Decisions should be explainable. Privacy: User data should be protected. Accountability: Clear responsibility for AI outcomes. Beneficence: AI should benefit humanity.
Current Debates
Bias in hiring and criminal justice AI. Autonomous weapons development. Deepfake regulation. AI-generated content and copyright. Environmental impact of training large models. Labor displacement concerns.
Frameworks
IEEE Ethically Aligned Design. EU Ethics Guidelines for Trustworthy AI. OECD AI Principles. Google and Microsoft responsible AI frameworks. Anthropic's responsible scaling policy.