Category Definitions

AI Governance & Strategy

Defines the policies, roles, and structure for managing AI to align with business goals.

AI Legal & Regulatory Compliance

Ensures AI systems adhere to all relevant local and international laws.

AI Data Governance & Management

Manages the quality, handling, and lineage of data used by AI models.

AI Model Risk & Control

Identifies and mitigates risks related to an AI model's performance and behavior.

AI System Security & Access Control

Protects AI systems from cyber threats and unauthorized access.

AI Accountability & Incident Response

Establishes who is responsible for AI systems and outlines a plan for responding to failures or security breaches.

AI Transparency & Disclosure

Communicates how AI systems are used and how they make decisions.

Bias, Fairness & Non-Discrimination in AI

Works to prevent and correct biased or discriminatory outcomes in AI.

Human Oversight of AI Systems

Ensures human supervision and intervention in the operation of AI.

AI Privacy & Data Confidentiality

Protects sensitive and personal data used by AI models.

AI Explainability & Interpretability

The ability to understand and explain how an AI model arrives at its conclusions.

AI Testing, Validation & Evaluation

Rigorously tests and evaluates AI for safety and reliability.

AI System Documentation & Traceability

Maintains detailed records of an AI system's development, data, and performance.

AI Training & Awareness Programs

Educates employees on AI risks, policies, and ethical use.

Third-Party & Vendor AI Risk Management

Assessing and mitigating the risks associated with third-party or direct vendor AI use.

AI Continuity & Operational Resilience

Ensures AI systems can continue to function during a disruption.

AI Monitoring, Auditing & Logging

Continuously tracks AI performance and behavior for compliance and security.

AI Infrastructure & System Architecture

Assessing the security of the underlying hardware and software that supports AI systems.

AI Ethics, Sustainability & Responsible Use

Ensures AI is developed and used in a way that is morally sound and beneficial to society.

AI Third-Party Governance & Risk Management

Assessing, governing, and mitigating risks associated with the use of AI across third-parties’ extended network.

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