AI Risk Management Framework

Governance

The system of policies, rules, and processes by which activities are directed, controlled, and managed.

Right to be Forgotten

A legal concept giving individuals the right to request deletion of their personal data from organisations' records.

Data Sovereignty

The concept that data is subject to the laws and governance structures of the country where it is collected or processed.

Internal Audit

An independent assurance function that evaluates the effectiveness of an organisation's internal controls and governance.

COBIT

Control Objectives for Information and Related Technologies — a framework for IT governance and management.

Business Ethics

The application of ethical principles and moral standards to business activities, decisions, and relationships.

Anti-Money Laundering

Laws, regulations, and procedures designed to prevent criminals from disguising illegally obtained funds as legitimate income.

Whistleblower Protection

Legal provisions protecting individuals who report illegal or unethical practices within organisations.

Information Classification

The process of categorising data based on its sensitivity level and the impact of unauthorised disclosure.

Acceptable Use Policy

A document defining the permitted use of an organisation's IT resources and networks.

AI Regulation

The developing body of laws and policies governing the development, deployment, and use of artificial intelligence systems.

Algorithmic Accountability

The principle that organisations should be answerable for the outcomes and impacts of their algorithmic systems.

The systematic process of evaluating potential risks in an organisation's operations, projects, or investments.

The proper handling of personal data including collection, storage, processing, and sharing in compliance with regulations.

An automated approach to maintaining regulatory compliance through real-time monitoring, policy enforcement, and evidence collection integrated into development and operations pipelines.

The process of identifying and mitigating risks associated with outsourcing to third-party vendors.

A set of rules defining who can access specific resources and what actions they can perform.

An approach to systems engineering that takes privacy into account throughout the entire engineering process.

An independent assessment of an AI system's compliance with regulatory requirements, ethical standards, and organisational policies, examining data, models, outputs, and governance.

The practice of designing, developing, and deploying AI systems with good intention and ethical principles.