Category Index
Browse every concept card currently tagged under Transparency & Communication. Use this page to understand how this topic cluster appears across AI governance practice, then open individual concept cards for the details.
Communicating Assurance Outcomes to Stakeholders involves transparently sharing the results of assessments regarding AI systems' performance, risks, and compliance with ethical sta...
Communicating with Regulators and Stakeholders involves the transparent exchange of information between AI developers, regulatory bodies, and affected parties. This practice is cru...
Explaining ethical decisions to stakeholders involves clearly communicating the rationale behind AI systems' decisions, particularly those that impact individuals or communities. T...
Explaining fairness decisions to stakeholders involves clearly communicating the rationale behind AI systems' fairness-related choices, such as algorithmic bias mitigation or equit...
Internal transparency for decision-makers refers to the clarity and openness regarding AI systems' operations, data usage, and decision-making processes within an organization. Thi...
The purpose of transparency in AI governance is to ensure that the processes, decisions, and underlying algorithms of AI systems are open and understandable to stakeholders, includ...
Stakeholders of AI Transparency refer to the individuals, groups, or organizations that have an interest in the transparency of AI systems, including developers, users, regulators,...
Transparency trade-offs in AI governance refer to the balance between providing clear, understandable information about AI systems and the inherent complexity and risks associated...
Transparency in AI refers to the degree to which the processes and decisions of an AI system are open and accessible to stakeholders, while explainability pertains to the ability t...
User-facing transparency for AI systems refers to the practice of providing clear, accessible information to users about how AI systems operate, including their decision-making pro...
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