AAAI presidential panel – AI agents

· Source: ΑΙhub · Field: Technology & Digital — Artificial Intelligence & Machine Learning · Depth: Expert, short

Summary

An AAAI presidential panel, scheduled for June 2026, will discuss AI agents as part of a video series derived from the "Future of AI Research" report, published in March 2025. This report, led by outgoing AAAI President Francesca Rossi, identifies the trajectory of AI research across 17 topics. The fifth discussion in this series features panelists Atoosa Kasirzadeh (Carnegie Mellon University), Kartik Talamadupula (Oracle), and Michael Wooldridge (University of Oxford), moderated by Francesca Rossi (IBM Fellow and AI Ethics Global Leader). The panel will explore the evolution of multi-agent systems from rule-based to generative AI-driven cooperative frameworks, examining the modern concept of agentic AI. Key discussion points include the opportunities and challenges of agentic AI, particularly how Large Language Models (LLMs) enable flexible decision-making while introducing concerns about efficiency, complexity, open-endedness, trust, and reliability. The panel will also address critical issues of alignment and governance within agentic AI systems.

Key takeaway

For AI Scientists and Research Scientists evaluating the future of AI agents, this panel discussion offers a crucial overview of current challenges and opportunities. You should consider the evolving landscape of multi-agent systems, particularly how LLMs introduce new complexities in decision-making, efficiency, and reliability. Pay close attention to the discussions on alignment and governance to proactively integrate ethical considerations into your agentic AI system designs.

Key insights

The panel explores the evolution, opportunities, challenges, and governance of modern agentic AI systems, especially those powered by LLMs.

Topics

Best for: AI Scientist, Research Scientist, AI Ethicist

Related on AIssential

Open in AIssential →

Editorial summary, takeaway, and curation by AIssential. Original article published by ΑΙhub.