L'AI generativa nelle notizie: un anno dopo
Sab 20 aprile 2024
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Looking at the journalistic landscape over the past year, the fervor surrounding the integration of Generative AI (GenAI) into news practices is undeniable. Ever since the launch of OpenAI’s ChatGPT in November 2022, artificial intelligence – and large language models and transformer models in particular – have captured the imagination of news professionals worldwide, and their presence in news organisations has become increasingly pervasive. Journalists now leverage generative AI for tasks such as translation, transcription, and data analysis, as well as (visual) content generation to name just a few. On the business front, GenAI has inspired the development of new news products and formats, the improvement of workflows and is explored for tasks such as better personalization.
At the same time, the use of the technology has also led to concerns. Factual errors in the output of LLMs and fears about the effect on audience trust have led many organisations to institute standards and guidelines for the use of AI. Journalists are worried about their jobs and professional identity, while publishers are concerned about the privacy of their data, the viability of their business models and decisions by platform and search giants which could potentially reshape the information ecosystem at large.
One year after the public arrival of generative AI, this panel will take stock of recent developments and launch a debate about the realised and unrealised promises of the technology. Bringing together four AI experts from academia and the news industry, it will address questions such as: What are the lasting uses of and approaches to (open-source) AI systems and models? How have news organisations addressed the regulation of AI use in-house, as well as legal issues around licensing, copyright, privacy, and more? And what are their responses to a changing information ecosystem, as large technology companies adopt AI for everything from product to search, with as of yet untested effects for publishers’ bottom lines? We will conclude with an outlook on future developments in this space.
Moderated by Felix Simon.
Modificato più di un mese fa
Pagine coinvolte
Palazzo Graziani (Perugia)
Costruzione di origine medioevale Palazzo Graziani è stato sottoposto ad interventi che nel corso dei secoli ne hanno modificato ed ampliato la struttura. Situato in Corso Vannucci, l’immobile è sede della Fondazione Cassa di Risparmio ed ora anche della nuova Fondazione CARIPERUGIA ARTE. Nel 1895 Annibale Brugnoli realizzò quattro grandi quadri ad olio sulle pareti e quattro grandi dipinti murali sulla volta di quello che successivamente venne chiamato “Salone del Brugnoli”, ancora oggi la sala di maggior pregio dell’intero complesso.
Nicholas Diakopoulos
Nicholas Diakopoulos is an Associate Professor in Communication Studies and Computer Science (by courtesy) at Northwestern University where he directs the Computational Journalism Lab and is Director of Graduate Studies for the Technology and Social Behavior PhD program. He is also an Associate Professor II at the University of Bergen Department of Information Science and Media Studies and is on sabbatical as a visiting researcher at the University of Amsterdam during the 2022-23 academic year. His research focuses on computational journalism, including aspects of automation and algorithms in news production, algorithmic accountability and transparency, and social media in news contexts. He is author of the award-winning book, Automating the News: How Algorithms are Rewriting the Media, published by Harvard University Press.
Chris Moran
Chris Moran is The Guardian's head of editorial innovation and the former audience editor. He uses data in the newsroom to execute strategic projects like content reduction and is the bridge between editorial and product, identifying opportunities for new features and ideas that capture the unique voice and values of the Guardian. He is the co-creator of Ophan, the Guardian's realtime analytics tool.
Felix Simon
Felix M. Simon is a journalist, communication researcher, and doctoral student at the Oxford Internet Institute (OII), a Knight News Innovation Fellow at Columbia University’s Tow Center for Digital Journalism, and an affiliate at the Center for Information, Technology, and Public Life (CITAP) at the University of North Carolina at Chapel Hill. He also works as a research assistant at the Reuters Institute for the Study of Journalism (RISJ) and regularly writes and comments on technology, media, and politics for various international outlets. As a member of the Leverhulme Doctoral Centre “Publication beyond Print”, he is currently researching the implications of AI in journalism and the news industry, jointly supervised by Prof Ralph Schroeder and Prof Ekaterina Hertog and formerly supervised by Prof Gina Neff. His doctoral project is generously funded by the Leverhulme Trust and an OII-Dieter Schwarz Foundation doctoral award. More specifically, his research seeks to understand th...
Agnes Stenbom
Agnes Stenbom is the head of IN/LAB, which is exploring new(s) futures at the intersection of journalism, technology and democracy through a new experimental initiative by Schibsted and the Tinius Trust.