Consent Chain Degradation in Embodied Multi-Agent Systems: Bridging the Gap Between AI Agent Governance and Robot Ethics
Introduces consent chain degradation: the way the specificity, validity and scope of human consent weaken as authority passes through chains of delegation among embodied agents. The paper proposes CoRVE, a three-layer runtime architecture for consent scope modelling, delegation tracking and physical irreversibility assessment, illustrates the problem with healthcare, domestic and industrial scenarios (including a worked numerical example), and maps the gaps left by the EU AI Act, the GDPR, the Machinery Regulation and the revised Product Liability Directive.
Research area: Agentic AI Safety & Governance, Reinforcement Learning & Autonomous Systems.
Dr. Mehmet Haklıdır is the founding Director of the TÜBİTAK BİLGEM Artificial Intelligence Institute, Türkiye’s first national AI institute. He holds a Ph.D. in Control and Automation Engineering from Istanbul Technical University and has more than 24 years of experience in AI, autonomous systems, big data, simulation, and technology policy.
He contributed to Türkiye’s first National AI Strategy and led the technical preparation and coordination of the National Artificial Intelligence Action Plan 2026–2030, finalized through consultation with the national AI ecosystem. He serves on the Steering Committee of the Science, Technology and Innovation Policies Council of the Presidency of the Republic of Türkiye and is a member of several international AI governance initiatives, including OECD ONE AI, GPAI, UNESCO AI Ethics, NATO DAIRB, and the European AI Alliance.
His current research focuses on large language models, AI safety with an emphasis on agentic AI systems, deep reinforcement learning, robotics, and autonomous decision-making under uncertainty.