Editing AI Governance and Policy (section)

== <span style="color: #FFFFFF;">Remembering</span> ==
* '''AI governance''' — The collection of rules, standards, processes, and institutions that guide the responsible development and use of AI.
* '''AI regulation''' — Legally binding rules governing AI development and deployment, backed by enforcement mechanisms.
* '''EU AI Act''' — The world's first comprehensive AI regulation, passed in 2024; categorizes AI systems by risk and imposes requirements accordingly.
* '''Risk-based approach''' — Regulating AI based on the potential harm of its application, with higher requirements for higher-risk systems.
* '''Prohibited AI practices''' — Uses of AI banned outright under the EU AI Act: social scoring, real-time biometric surveillance in public, subliminal manipulation.
* '''High-risk AI''' — AI in critical sectors (medical devices, employment, credit, law enforcement) subject to strict requirements under the EU AI Act.
* '''Conformity assessment''' — A mandatory evaluation process for high-risk AI systems before market deployment; can be self-assessment or third-party.
* '''AI auditing''' — Systematic evaluation of an AI system's behavior, performance, fairness, and compliance with standards.
* '''Algorithmic accountability''' — The principle that organizations deploying AI must be able to explain and justify automated decisions.
* '''NIST AI Risk Management Framework (AI RMF)''' — A voluntary US framework for managing AI risks through GOVERN, MAP, MEASURE, MANAGE functions.
* '''IEEE P7000''' — A family of IEEE standards for addressing ethical concerns in AI system design.
* '''Bias audit''' — A systematic evaluation of an AI system for discriminatory patterns across demographic groups.
* '''Disparate impact''' — When a neutral policy or algorithm disproportionately disadvantages a protected class, even without discriminatory intent.
* '''Red-teaming''' — Adversarial testing where experts attempt to cause harmful, unsafe, or unintended behavior in an AI system.
* '''Watermarking (AI)''' — Technical methods for detecting AI-generated content, required by some regulations.
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