Algorithmic Impact Assessment

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 practice of expressing regulatory and security compliance requirements as machine-readable policies that can be automatically validated against infrastructure and application configurations.

The process of identifying, assessing, and controlling threats to an organisation's capital and operations.

The governance framework for identifying, measuring, and mitigating risks arising from AI and analytical models.

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.

A systematic evaluation of the potential effects and risks of an AI system before and during its deployment.

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

A set of principles, guidelines, and processes that an organisation adopts to ensure its AI systems are developed and deployed in a manner that is fair, transparent, and accountable.