What is Compliance in AI?

Compliance in AI refers to the processes and measures organisations put in place to ensure that their artificial intelligence systems operate in accordance with legal, ethical, and technical standards. It also involves promoting fairness, transparency, and accountability in how AI makes decisions.

AI compliance addresses multiple risks. For example, it ensures that systems do not discriminate against certain groups, that sensitive data is properly protected, and that decision-making processes are explainable and auditable. From a business perspective, compliance also helps to maintain trust with clients, employees, and regulators and reduces the risk of costly legal challenges or reputational damage.

In practice, compliance spans the entire lifecycle of an AI system, from design and development to deployment and ongoing monitoring. This means companies must consider potential legal and ethical issues before a system is even launched, document its decision-making processes, and continually review its performance to ensure it remains safe and fair.