# LG AI Research — [AAAI 2026] A Design Guide for Organizations Implementing Agentic AI

- Company: LG AI Research (lgresearch.ai)
- Announced: 2026-03-24T00:00:00+00:00
- Category: research-paper
- Subject: EXAONE
- Source: https://www.lgresearch.ai/blog/view?seq=637
- Record: https://forck.live/items/4754-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.

## Evidence

Verbatim from https://www.lgresearch.ai/blog/view?seq=637:

> 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.”

---

Record: https://forck.live/items/4754-aaai-2026-a-design-guide-for-organizations-implementing-agentic-ai
Catalogue: https://forck.live/llms.txt
Feed: https://forck.live/feed.md