Beginner · Safety

AI Ethics

Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.

TL;DR. A field studying the moral principles and values that should guide the design, development, and use of artificial intelligence.

Technical Definition

A field studying the moral principles and values that should guide the design, development, and use of artificial intelligence.

How it works

AI ethics addresses critical questions about fairness, accountability, transparency, privacy, and potential societal impacts of AI. It guides practitioners in building AI systems that are beneficial, safe, and just, preventing unintended harm and promoting human well-being. This interdisciplinary field draws on philosophy, law, computer science, and social sciences.

Related Concepts

• AI Safety & Alignment — The field ensuring AI systems behave as intended, remain under human control, and avoid unintended harm.
• Responsible AI (RAI) — A holistic framework encompassing the ethical, legal, and societal implications of AI, promoting trustworthy and beneficial systems.
• Trustworthy AI — A broad concept encompassing AI systems that are reliable, secure, transparent, fair, and accountable, adhering to ethical principles.