What is AI Ethics?
AI Ethics is a branch of ethics that examines the moral implications of artificial intelligence development and deployment. It addresses questions about fairness, accountability, transparency, and the societal impact of AI systems.
Core Principles
Beneficence AI should benefit humans and society.
Non-maleficence AI should not cause harm.
Autonomy Respect human decision-making.
Justice Fair distribution of benefits and risks.
Explicability AI decisions should be understandable.
Key Ethical Concerns
Bias and Fairness
- Training data bias
- Algorithmic discrimination
- Disparate impact
Privacy
- Data collection practices
- Surveillance concerns
- Consent issues
Accountability
- Who is responsible for AI decisions?
- Liability frameworks
- Human oversight
Transparency
- Explainable AI
- Algorithmic auditing
- Disclosure requirements
Employment
- Job displacement
- Workforce transitions
- Economic inequality
Ethical Frameworks
- IEEE Ethically Aligned Design
- OECD AI Principles
- EU Ethics Guidelines for Trustworthy AI
- UNESCO Recommendation on AI Ethics