LG AI Research· EXAONEResearch paper

[AAAI 2026] A Design Guide for Organizations Implementing Agentic AI

This is a blog post by LG AI Research summarizing a demo track at AAAI 2026 about designing observable and reliable AI agents. It describes three tools: AgentGraph (a debugging interface), AgentSeer (action-level red teaming), and Omega (converting agent choices into natural language explanations). The post also discusses a future roadmap for agent ecosystems, emphasizing transparency, explainability, and trustworthiness. No new AI product or model is announced.

From the source

4. Demo track insights: Designing observable and reliable agents While the main track focused on enhancing agents' structural reasoning capabilities, the demo track explored challenges in transforming “the decision-making and execution processes of well-designed agents from a black box into a glass box.”

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Announced

24 Mar 2026 00:00 UTC