How does the EU AI Act ensure accountability within AI governance?

The EU AI Act emphasizes accountability in AI governance by establishing accountability frameworks. These frameworks are designed to ensure that AI systems operate transparently and responsibly, outlining specific responsibilities for developers, deployers, and operators of AI technologies. By institutionalizing processes like risk assessments, compliance obligations, and mechanisms for oversight, these frameworks facilitate a structured approach to identifying, mitigating, and managing potential risks posed by AI systems.

This structured accountability enhances trust and reliability in AI technologies, as stakeholders and users can have greater confidence that there are measures in place to address misuse or failures. Additionally, the frameworks promote compliance with ethical standards and regulatory requirements, ensuring that AI systems align with societal values and legal norms.

The other options, while related to AI, do not explicitly detail how accountability is structured under the EU AI Act. For example, limiting AI system capabilities might not directly address accountability but rather focuses on the scope of what AI can do. Encouraging public ownership may promote public interest but doesn’t specifically relate to accountability mechanisms. Likewise, mandating live monitoring could contribute to oversight but doesn't establish a comprehensive framework for accountability in decision-making processes.