NN Asks: How can the nuclear industry ensure trust in AI-driven decisions?

[Marlin]

NN Asks: How can the nuclear industry ensure trust in AI-driven decisions?

https://www.ans.org/news/2026-09-28/article-8330/inni-asks-how-can-the-nuclear-industry-ensure-trust-in-aidriven-decisions/

[Core Content]

University researchers recommend framing artificial intelligence tools in nuclear facilities as assistance systems rather than autonomous decision-makers. Under this approach, trained human experts evaluate algorithmic outputs alongside traditional operational data to maintain accountability. This strategy addresses industry concerns regarding transparency and reliability in complex plant environments.

This is a really interesting question that we're already grappling with both in research and industry. A lot of the discussion around the practicality of implementing AI in nuclear includes concepts of trustworthiness, transparency, and explainability. Conceptually, these are all intertwined: An AI that generates explainable results through a...

Beyond that, however, we should reframe the problem as AI-assisted decisions instead of AI-driven. Just like we can use measures of risk to inform design, regulation, or operations, AI can provide useful insights that assist in decision-making—but it should not be the primary driver of any decisions. If we consider AI as an assistant to a qualified human expert, then we can evaluate AI output as one input in the decision-making process.

Read the full article at ans.org:
https://www.ans.org/news/2026-09-28/article-8330/inni-asks-how-can-the-nuclear-industry-ensure-trust-in-aidriven-decisions/