Accountability

Accountability in AI (artificial intelligence) encompasses the comprehensive responsibility of those involved in the creation, operation, and regulation of AI systems to guarantee that these systems function in a manner that upholds ethical standards, fairness, and transparency while adhering to all relevant legal and regulatory frameworks. This principle mandates that all actions, decisions, and outcomes generated by an AI system can be attributed to and are the responsibility of identifiable and specific entities, such as developers, deployers, and regulatory bodies. Accountability mechanisms are essential to foster trust among users and stakeholders, ensuring that AI systems contribute positively to society and that any negative impacts can be addressed and rectified promptly.