Beginner · Safety
Trustworthy AI
Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.
TL;DR. A broad concept encompassing AI systems that are reliable, secure, transparent, fair, and accountable, adhering to ethical principles.
Technical Definition
A broad concept encompassing AI systems that are reliable, secure, transparent, fair, and accountable, adhering to ethical principles.
How it works
Trustworthy AI is a crucial goal for the responsible development and deployment of artificial intelligence. It emphasizes building systems that users can rely on, understand, and hold accountable, ensuring they do not exacerbate societal biases or cause undue harm. This involves integrating principles like transparency, fairness, privacy, and security throughout the entire AI lifecycle.
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.
- AI Ethics — A field studying the moral principles and values that should guide the design, development, and use of artificial intelligence.