The Perils of Agency: How Developers Perceive, Prioritize, and Address Risks in Agentic AI Products
Agentic AI systems act autonomously, use tools, adapt to context, and operate in complex real-world environments. However, these same characteristics can create or exacerbate product risks. We studied how industry developers (n=35) perceive, prioritize, and address the risks in their agentic AI products. We found that developers' perceptions of risk were closely tied to the qualities that made the product agentic, such as autonomy, tool use, and usage in a real-world context. Developers prioritized product and business risks before considering downstream societal risks like job displacement and end-user privacy. This prioritization also impacted developers' ability and motivation to mitig...
| Authors | Hao-Ping Lee, Jessica He, David Piorkowski et al. |
|---|---|
| Primary category | cs.CY |
| Published | 13 June 2026 |
| Last updated at source | 7 August 2026 |
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