Trust by design in AI-augmented procurement systems: the roles of explainability, governance, and human oversight

With the growing integration of artificial intelligence (AI) into buyer–supplier negotiations, procurement teams must translate efficiency gains into defensible and appropriately calibrated reliance on AI-mediated decision support. This study develops and empirically evaluates a socio-technical trust-by-design model for AI-augmented procurement negotiation systems. It jointly considers perceived transparency/explainability (XAI), ethical governance visibility, and human-in-the-loop (HIL) relatio

Related evidence

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

How to cite this record

ethics.ai (31 July 2026), “Trust by design in AI-augmented procurement systems: the roles of explainability, governance, and human oversight,” evidence record 15404, https://ethics.ai/record/15404 (originally published by Frontiers in Artificial Intelligence).

Use and limitations

This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.