A-Z Index
Browse concept cards whose titles begin with H. This is useful when you want an alphabetical view of the library rather than browsing by governance topic or category.
Human oversight as a governance principle refers to the requirement that human judgment and intervention remain integral in the deployment and operation of AI systems. This princip...
Hybrid Governance Models for AI integrate multiple governance frameworks—such as regulatory, self-regulatory, and collaborative approaches—to manage AI systems effectively. This mo...
High-Risk AI Obligations refer to stringent requirements imposed on AI systems that pose significant risks to health, safety, or fundamental rights, as outlined in the EU AI Act. T...
High-Risk AI Systems refer to AI technologies that pose significant risks to health, safety, or fundamental rights, necessitating strict regulatory oversight. These systems are sub...
High-risk vs non-high-risk boundary cases refer to the classification of AI systems based on their potential impact on safety, rights, and freedoms. In AI governance, this distinct...
AI systems are classified as high-risk based on their potential impact on fundamental rights, safety, and the environment. This classification is crucial in AI governance as it dic...
Handling Data Subject Requests in AI Systems refers to the processes and protocols established to manage requests from individuals regarding their personal data, such as access, co...
Handling Regulatory Scrutiny During Active Incidents refers to the processes and protocols that organizations must follow when their AI systems are under investigation due to poten...
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