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AI Regulation defines legal, ethical and organizational frameworks for governing and controlling AI systems. It encompasses laws, standards, oversight mechanisms and compliance processes that mitigate risks and ensure accountability. It connects legal requirements with technical controls and operational governance.
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AI regulation comprises legal and policy rules that align the development, provision, and use of artificial intelligence with societal goals.
It grew from the need to combine AI’s opportunities with protection against harm, discrimination, and violations of fundamental rights. States and international institutions develop this field; no single originator can be identified.
Think of a layered guardrail: fundamental rights and safety goals set boundaries, laws translate them into duties, oversight checks implementation, and technical and organizational evidence makes compliance verifiable.
Rules constrain AI where dignity, freedom, or equal treatment are affected.
Requirements are adapted to possible harm and the context of use.
Institutions monitor whether providers and deployers meet their duties.
The concept supports AI risk analysis, procurement, and governance. Rules evolve, so ownership, evidence, and the applicable jurisdiction must be checked.
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