Category Index
Browse every concept card currently tagged under Data Governance & Management. Use this page to understand how this topic cluster appears across AI governance practice, then open individual concept cards for the details.
Automated Decision-Making (ADM) refers to the use of algorithms and AI systems to make decisions without human intervention. In the context of AI governance, it is crucial to ensur...
Consent and data collection in AI contexts refer to the ethical and legal requirement that individuals must provide explicit permission before their personal data is collected, pro...
Data Governance in AI Systems refers to the management of data availability, usability, integrity, and security within AI frameworks. It is crucial in AI governance as it ensures t...
Data lineage and provenance refer to the tracking and visualization of the flow of data through its lifecycle, from its origin to its final destination. In AI governance, understan...
Explainability Expectations for Data Subject Requests refer to the obligation of organizations to provide clear, understandable explanations to individuals (data subjects) about ho...
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...
Training data refers to the dataset used to train an AI model, while operational data is the real-time data the model encounters during its deployment. In AI governance, distinguis...
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OpenExplore glossary entries grouped under AI Act Obligations & Requirements.
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