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Microsoft Researcher on the Future of AI Agents 마이크로소프트 연구원이 말하는 AI 에이전트의 미래 Published: December 12, 2024 Ece Kamar, managing director of Microsoft’s AI Frontiers Lab, discusses the evolution and future of AI agents—autonomous systems capable of performing tasks beyond simple chatbot functions. Advancements in Multi-Agent Systems Kamar highlights the development of AutoGen, an open-source tool released by her lab that facilitates the creation of multi-agent networks. This tool enables an orchestrator agent to decompose complex problems into manageable tasks, delegating each to specialized agents with the appropriate capabilities. Such a framework enhances the efficiency and effectiveness of AI systems in handling intricate challenges. Challenges to Widespread Adoption Despite technological progress, Kamar identifies performance reliability and safety as significant barriers to the widespread adoption of AI agents. Current systems can reliably perform approximately 30% to 35% of assigned tasks, compared to about 85% for humans. Addressing these gaps through innovations in model memory and learning is essential for building trust in AI agents. Importance of Human Oversight Kamar emphasizes the necessity of human oversight to ensure the reliability and safety of AI agents. She suggests that robust human supervision is crucial, especially as these systems become more integrated into various applications. Future Outlook Looking ahead, Kamar envisions the emergence of ecosystems and marketplaces for AI agents, where specialized agents with distinct expertise collaborate to accomplish complex tasks. This evolution could lead to new paradigms in human-AI collaboration, enhancing productivity and innovation across industries.