Algorithmic Risk — Risk Taxonomy for AI Systems
Algorithmic risk refers to the potential for harm, adverse outcomes, or unintended consequences arising from the design, implementation, or operation of algorithmic or AI-based decision systems.…
Resources
Insights on AI Governance & Compliance
Explore our latest resources and practical guides to navigate the evolving landscape of AI compliance and regulation.
LATEST RESOURCES
DPIA — Data Protection Impact Assessment for AI Systems
A Data Protection Impact Assessment (DPIA) is a structured process required by GDPR Article 35 for processing activities that are likely to result in a high…
Fundamental Rights Impact Assessment (FRIA) — EU AI Act Deployer Obligation
What is a Fundamental Rights Impact Assessment (FRIA)? A Fundamental Rights Impact Assessment (FRIA) is a structured evaluation required by the EU AI Act for deployers…
Risk Register — Living Documentation of AI Risk Management
An AI risk register is a structured, maintained document that captures the identified risks associated with an organization's AI systems: their nature, likelihood, potential impact, current…
Supply Chain Risk (AI) — Third-Party AI Governance and Vendor Risk
AI supply chain risk refers to the governance and security risks that arise from an organization's dependence on external parties — AI model providers, training data…
Ethical AI Framework — From Principles to Verified Practice
An Ethical AI Framework is the structured set of principles, policies, processes, and governance mechanisms through which an organization operationalizes its commitments to ethical AI development…
AI Governance Training — Building Organizational Governance Competence
AI governance training is the structured educational and capacity-building program through which organizations develop the knowledge, skills, and competencies required to design, implement, operate, and audit…
AI Operating Model — Organizational Design for AI Governance
An AI operating model is the organizational design framework that defines how an organization structures its AI governance function: reporting lines, team composition, role boundaries, decision-making…
AI Policy — Organizational Governance Document for AI Use
An AI policy is a formal organizational document that establishes the principles, requirements, boundaries, and accountability structures governing how AI is used within the organization. It…
AI RACI Matrix — Accountability Framework for AI Governance
An AI RACI Matrix is a structured accountability tool that assigns, for each AI governance activity, the roles that are Responsible (who does the work), Accountable…
AI Risk Appetite — Governance Boundaries for AI Risk Acceptance
AI risk appetite is the level and type of risk that an organization is willing to accept in pursuit of its AI strategy and objectives, before…
Right to Explanation — Individual AI Decision Rights under GDPR and EU AI Act
The right to explanation is the right of individuals to receive meaningful information about the logic, significance, and envisaged consequences of automated decisions that significantly affect…
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