{"id":12031,"date":"2026-05-07T00:19:36","date_gmt":"2026-05-07T00:19:36","guid":{"rendered":"https:\/\/mcsoc-forum.org\/site\/?page_id=12031"},"modified":"2026-05-22T02:33:32","modified_gmt":"2026-05-22T02:33:32","slug":"governance-aware-agentic-ai","status":"publish","type":"page","link":"https:\/\/mcsoc-forum.org\/site\/index.php\/governance-aware-agentic-ai\/","title":{"rendered":"Governance-Aware Agentic AI for Systems-of-Systems: Trustworthy Automation, DigitalTwins, and Societal Impact"},"content":{"rendered":"\n
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Chairs<\/h2>\n\n
\n\n
\n\n \n
\n
\n \"Mohammed\n <\/figure>\n

\n Mohammed Saeed Jawad<\/strong>
\n \n International University of Sarajevo (IUS), Bosnia and Herzegovina\n <\/span>\n <\/p>\n <\/div>\n\n \n

\n
\n \"Giacomo\n <\/figure>\n

\n Giacomo Cabri<\/strong>
\n \n University of Modena and Reggio Emilia (UNIMORE), Italy\n <\/span>\n <\/p>\n <\/div>\n\n \n

\n
\n \"Leszek\n <\/figure>\n

\n Marcin Mrugalskik<\/strong>
\n \n University of Zielona G\u00f3ra, Poland\n <\/span>\n <\/p>\n <\/div>\n\n<\/div>\n<\/div>\n\n\n\n

The rapid evolution of large\u2011scale Systems\u2011of\u2011Systems (SoS)<\/strong>\u2014spanning smart cities, healthcare, industrial automation, aerospace, and space ecosystems\u2014is driving a shift toward highly distributed, autonomous, and intelligent environments<\/strong>. These interconnected systems increasingly rely on decentralized decision\u2011making, where Agentic AI<\/strong>\u2014goal\u2011driven, adaptive, and collaborative autonomous agents\u2014plays a central role in orchestrating complex operations.<\/p>\n\n\n\n

Despite significant progress, major challenges remain. Ensuring that such systems are trustworthy, explainable, auditable, and compliant with governance frameworks<\/strong> is becoming essential. Existing methodologies often lack integrated mechanisms for policy enforcement, accountability, and human oversight<\/strong>, especially in dynamic and large\u2011scale SoS environments.<\/p>\n\n\n\n

This special session addresses these gaps by focusing on governance\u2011aware Agentic AI<\/strong>, compliance\u2011by\u2011design architectures, and explainable intelligence that ensures transparent and reliable system behavior. The session also highlights the integration of AI\u2011enabled digital twins<\/strong> for real\u2011time monitoring, simulation, and adaptive control.<\/p>\n\n\n\n

Aligned with MCSoS themes\u2014including autonomous systems, cyber\u2011physical systems, distributed intelligence, and complex system integration\u2014this session also engages with global AI governance challenges such as the EU AI Act<\/strong> and emerging international regulatory frameworks. <\/p>\n\n\n\n

2. Special Session Goals<\/strong><\/h2>\n\n\n\n