The field of artificial intelligence is rapidly evolving, with a growing focus on autonomous AI systems that can operate independently and make decisions without human intervention. Recent research has highlighted the need for effective governance policies, monitoring, and control protocols to ensure the safe and responsible deployment of these systems. One of the key challenges in this area is the issue of liability, as autonomous AI systems can cause harm or damage without direct human involvement. Researchers are exploring new approaches to address these challenges, including the development of scalable oversight protocols, enforcement agents, and role-aware failure management frameworks. Notable papers in this area include 'Inherent and emergent liability issues in LLM-based agentic systems: a principal-agent perspective', which analyzes potential liability issues in autonomous AI systems from a principal-agent perspective, and 'Enforcement Agents: Enhancing Accountability and Resilience in Multi-Agent AI Frameworks', which introduces a framework for real-time oversight and correction of autonomous AI agents. Overall, the field is moving towards a greater emphasis on accountability, transparency, and safety in autonomous AI systems.