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Ethical AI

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TL;DR. The study and practice of designing, developing, and deploying AI systems in a responsible and morally sound manner.

Technical Definition

The study and practice of designing, developing, and deploying AI systems in a responsible and morally sound manner.

How it works

Ethical AI is a broad field concerned with ensuring that AI systems are developed and used in ways that align with human values, rights, and societal well-being. It addresses issues such as fairness, accountability, transparency, privacy, and the potential for harm or discrimination. Adherence to ethical principles is increasingly important in AI development.

Related Concepts

• Fairness — The principle that AI systems should treat individuals and groups equitably.
• Explainable AI (XAI) — A set of techniques that allow humans to understand the output of AI models, especially deep learning models.