Intel / article

Generative AI for trustworthy systems - Towards a health check model

Source: arxiv.org
Author: Jan Bosch, Rick Kazman, Henry Muccini, Helena Holmstr\"om Olsson
Date: Published Sep 11, 2026

Context

Giving an more authority does not automatically make an organization more mature. The Trustworthy Autonomy Health Check Model proposes assessing whether that authority fits the organization's safeguards and ability to oversee it. Developed from interviews with 18 senior practitioners, the framework separates system properties, such as containment and traceability, from organizational capabilities, such as governance and human oversight.

Its purpose is to expose mismatches that a single maturity score could hide. The authors explicitly treat higher levels as -dependent and describe the relationship between and trustworthiness as a hypothesis requiring further validation. The immediate contribution is a diagnostic vocabulary for discussing whether an organization's controls match what its agents are allowed to do.

Terms in this piece · Glossary

AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.
alignment — The work of making AI systems actually pursue what their builders and users intend, rather than something subtly or dangerously different.

Read the source arxiv.org