A trace study of a teacher-facing app builder reveals that natural-language authoring pipelines can silently alter professional commitments, motivating an accountable translation framework for inspectable, attributable, and contestable handoffs.
Title resolution pending
4 Pith papers cite this work. Polarity classification is still indexing.
citation-role summary
citation-polarity summary
years
2026 4roles
background 2polarities
background 2representative citing papers
A literature review shows that constructs for appropriate reliance on AI are fragmented, presents three views on the topic, and calls for consensus on objective metrics to enable better comparisons across studies.
A linear FJ-Hawkes model purports to show when public trust in AI collapses, but the equations make high trust generate more controversy, contradicting the claimed collapse mechanism.
A structured review of JSP 936 identifies eight challenge areas in operationalising AI assurance for UK Defence and concludes that further methods, guidance, and organisational capability are required.
citing papers explorer
-
Beyond Prompt-to-App: Accountable Translation in Teacher-Facing Agentic Authoring
A trace study of a teacher-facing app builder reveals that natural-language authoring pipelines can silently alter professional commitments, motivating an accountable translation framework for inspectable, attributable, and contestable handoffs.
-
From Trust to Appropriate Reliance: Measurement Constructs in Human-AI Decision-Making
A literature review shows that constructs for appropriate reliance on AI are fragmented, presents three views on the topic, and calls for consensus on objective metrics to enable better comparisons across studies.