AI Regulation
Government rules and legislation governing the development, deployment, and use of artificial intelligence. AI regulation is rapidly evolving worldwide.
Why It Matters
AI regulation is moving from theory to law. Organizations that ignore it face fines, bans, and reputational damage as enforcement accelerates.
Example
The EU AI Act (comprehensive risk-based framework), China's AI regulations (algorithmic transparency), and emerging US state-level AI laws.
Think of it like...
Like environmental regulation — society recognizes the technology's benefits but requires guardrails to prevent harm, and the rules are still being written.
Related Terms
EU AI Act
The European Union's comprehensive regulatory framework for artificial intelligence, establishing rules based on risk levels. It categorizes AI systems from minimal to unacceptable risk with corresponding compliance requirements.
AI Governance
The frameworks, policies, processes, and organizational structures that guide the responsible development, deployment, and monitoring of AI systems within organizations and across society.
Compliance
The process of ensuring AI systems meet regulatory requirements, industry standards, and organizational policies. AI compliance is becoming increasingly complex as regulations proliferate.
Responsible AI
An approach to developing and deploying AI that prioritizes ethical considerations, fairness, transparency, accountability, and societal benefit throughout the entire AI lifecycle.
Risk Assessment
The systematic process of identifying, analyzing, and evaluating potential risks associated with an AI system. Risk assessment considers both the likelihood and impact of potential harms.