Workshop on AI Management Systems

Integrating AI into productivity strategies addresses inefficiencies, manages risks primarily in compliance and security, and streamlines adoption by optimizing resources and standardizing workflows. This boosts innovation, operational efficiency, and alignment with goals, driving sustainable growth. In developing countries, AI bridges infrastructure, education, and healthcare gaps, enhancing productivity and economic growth.

The AI Management System (AIMS) is an international standard specifying the requirements to develop, provide, and utilize responsible AI systems. AIMS drives innovation while addressing risks and societal challenges tied to AI adoption. Influenced by organizational objectives, structure, processes, and stakeholder expectations, it balances governance with innovation. Integrated with existing systems, it manages risks, trustworthiness (security, safety, fairness, transparency), and third-party relationships. Regular reviews ensure alignment with evolving AI uses and goals (ISO/IEC 42001, 2023).

For more details please click on PN.