concept

Ethical AI

Ethical AI is a framework and set of principles that guide the development, deployment, and use of artificial intelligence systems to ensure they are fair, transparent, accountable, and aligned with human values. It addresses issues such as bias, privacy, safety, and societal impact, aiming to prevent harm and promote beneficial outcomes. This concept involves interdisciplinary approaches combining technology, ethics, law, and social sciences.

Also known as: AI Ethics, Responsible AI, Fair AI, Trustworthy AI, AI Governance
🧊Why learn Ethical AI?

Developers should learn Ethical AI to build responsible AI systems that avoid discriminatory outcomes, protect user privacy, and comply with regulations like GDPR or AI ethics guidelines. It is crucial in high-stakes applications such as healthcare, finance, criminal justice, and autonomous vehicles, where AI decisions can significantly impact individuals and society. Mastering this helps mitigate risks, enhance trust, and ensure long-term sustainability of AI projects.

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