Agentic Explainability at Scale: Between Corporate Fears and XAI Needs
As companies enter the race for agentic AI adoption, fears surface around agentic autonomy and its subsequent risks. These fears compound as companies scale their agentic AI adoption with low-code applications, without a comparable scaling in their governance processes and expertise resulting in a phenomenon known as "Agent Sprawl". While shadow AI tools can help with agentic discovery and identification, few observability tools offer insights into the agents' configuration and settings or the decision-making process during agent-to-agent communication and orchestration. This paper explores AI governance professionals' concerns in enterprise settings, while offering design-time and runtim...
| Authors | Yomna Elsayed, Cecily Jones |
|---|---|
| Primary category | cs.HC |
| Published | 16 April 2026 |
| Last updated at source | 16 April 2026 |
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