AI Ethics

The moral principles and guidelines that govern the development, deployment, and use of artificial intelligence systems to ensure they benefit humanity and minimize harm.

Also known as:AI MoralityMachine Ethics

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