Establish a common framework for reflection for editorial offices, at a time when ambivalence towards AI threatens the entire profession. This is the objective of this Mapping of the challenges and uses of generative AI for journalism , the result of work carried out by public service media, led by INA. France Télévisions, Radio France, France Médias Monde, TV5 Monde, and INA, with the support of the UER network, are sharing their analysis of the impact of new AI tools, products or technologies. Since our first mapping of AI for the media, developed in 2019. Before the arrival of ChatGPT, the impact of this new technology has grown. It now directly influences the entire information value chain, from production to broadcasting, and is establishing new modes of consumption.
What are the most relevant tools in newsrooms?
What questions do their uses raise? This resource published on the occasion of the Summit for Action on Artificial Intelligence, which takes place from February 6 to 11, 2025, is not a “consumer guide”, but the sharing of an analysis produced by journalists. The report, which is to be continued vnpay database and declined, is available in French and English . Between productivity gains, increased creativity and better understanding of users, the major challenge today is to understand how these tools work and to integrate them in accordance with the values of an editorial office.
1) You will first discover an overview of the main areas of application of AI in journalism:
Collection and preparation of information : content aggregation, automatic monitoring, data exploration and analysis, expert synthesis, automatic transcription.
Production and editing : design assistance, text generation, voice creation and transformation.
Verification : Detection of AI-generated content.
Diffusion : SEO optimization, audience knowledge, translation, automatic audio playback.
This is the third major technological change cyprus phone number library that the journalism sector has experienced in recent decades. Most journalists know that they must take a close interest in these technologies . Develop guidelines to govern their use, and experiment cautiously to identify opportunities and risks. The entire information production chain is potentially subject to the impacts of AI.
The design of this document was coordinated and managed by the Institut national de l’audiovisuel (INA).
Under the direction of Xavier Lemarchand (Director of the AI Coordination & Integration mission) and Antoine Bayet (Editorial Director of the INA), and is based on the bfb directory contributions and careful proofreading of the editorial and digital teams.