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Detecting deepfakes and generative AI: Report on standards for AI watermarking and multimedia authenticity workshop. The need for standards collaboration on AI and multimedia authenticity

Geneva: ITU (2024), vi, 21 pp.

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Identifying and scaling AI startups for SDGs: ITU AI for Good Innovation Factory 2020-2024 Activities Report

Geneva: ITU (2024), vi, 42 pp.

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AI and the future of journalism: An issue brief for stakeholders

Anya Schiffrin

Paris: UNESCO (2024), 18 pp.

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Gefühle der Zukunft: Wie wir mit emotionaler KI unser Leben verändern

Eva Weber-Guskar

Bonn: Bundeszentrale für politische Bildung (bpb), Sonderausg. (2024), 271 pp.

"Längst ist Künstliche Intelligenz nicht mehr auf kognitive Zwecke begrenzt: Sie wertet, etwa zur Kriminalitätsprävention oder gezielten Kundenansprache, menschliche Mimik aus und suggeriert in Spielen oder Lernprogrammen Emotionen und Stimmungen. Erscheinen bereits solche auf Empfindungen ziele ... more

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Control Beyond Code: Ownership and Financial Insights of AI Used in Journalism

Sydney Martin

Santiago de Compostela: Media and Journalism Research Center (MJRC) (2024), 17 pp.

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Bridging awareness and resistance: Using algorithmic knowledge against controversial content

Dragos M. Obreja

Big Data & Society, issue October–December (2024), 13 pp.

"Political and moral/religious contents are increasingly popular on TikTok, and the concerns associated with them create the premises for a re-exploration of the user–machine agency negotiation. Using algorithmic awareness as a process, this research examines the relationship between users’ awar ... more

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The Peril and Promise of AI for Journalism

Nishtha Gupta, Jenina Ibañez, Chris Tenove

Centre for the Study of Democratic Institutions (CSDI) (2024), 13 pp.

"This report draws on insights from the workshop, along with recent academic and journalistic publishing. It highlights three major issues: How generative AI can make disinformation campaigns faster, more targeted, and more persuasive. How newsrooms’ adoption of AI tools can lead to inaccuracies a ... more

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AI for Good-Innovate for Impact. Final Report

Geneva: ITU (2024), xiv, 213 pp.

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How Artificial Intelligence is Changing Media and Journalism in Central Europe: A study mapping the use of AI by newsrooms in the Czech Republic, Hungary, Poland and Slovakia

Marius Dragomir (ed.)

Thomson Foundation; Media and Journalism Research Center (MJRC) (2024), 18 pp.

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Impacts of AI Technologies on Palestinian Lives and Narratives

Ameera Kawah

Arab Center for the Advancement of Social Media (2024), 15 pp.

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AI in Journalism Futures. Initial Report

David Caswell, Shuwei Fang

New York: Open Society Foundations (2024), 56 pp.

"The AI in Journalism Futures (AIJF) project explored how artificial intelligence (AI) might fundamentally transform our information ecosystem over the next five to 15 years. Engaging nearly 1,000 global participants, including journalists, technologists, academics, and civil society advocates, the ... project’s objective was to understand the range of possibilities for long-term impact of AI on journalism using a scenario planning approach. An open call for applications produced short scenarios from 880 participants, from which 40 were selected to participate in a scenario planning workshop held in Piedmont, Italy, in April 2024. This workshop facilitated the refinement of five robust and plausible future scenarios. The five key scenarios developed were: “Machines in the Middle,” in which AI-driven newsgathering and news production enables newsrooms to operate essentially without human journalists; “Power Flows to Those Who Know Your Needs,” emphasizing the shift of power to those who best understand individual information needs in an AI-empowered information ecosystem; “Omniscience for Me, Noise for You,” depicting a societal divide where some are super-empowered by AI while others may be overwhelmed by distracting or low value information; “AI with Its Own Agency and Power,” envisioning AI systems operating in the information ecosystem with minimal human oversight; and “AI on a Leash,” in which societal or regulatory constraints limit AI’s transformative potential. The workshop produced near-unanimous agreement that AI would fundamentally transform the information ecosystem, but also difficulty in articulating specifically how this transformation might occur, with participants often defaulting to extensions of the status quo. There was considerable skepticism about the ability of traditional journalism institutions to adapt successfully to an AI-driven future, and participants tended to envision coming changes in terms of power shifts away from journalists, with little attention to how those changes might increase or decrease value for audiences. The results of the AIJF workshop underscore the urgency for stakeholders in journalism and civic information to engage in long-term planning and adaptation strategies to effectively navigate the coming AI-mediated information ecosystem. The scenarios and insights provided aim to guide these efforts, offering a foundation for understanding and thinking about journalism’s AI future." (Executive summary) more

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Algorithmic Regimes: Methods, Interactions, and Politics

Juliane Jarke, Bianca Prietl, Simon Egbert, Yana Boeva, Hendrik Heuer, Maike Arnold (eds.)

Amsterdam: Amsterdam University Press (2024), 346 pp.

"Algorithms have risen to become one, if not the central technology for producing, circulating, and evaluating knowledge in multiple societal arenas. In this book, scholars from the social sciences, humanities, and computer science argue that this shift has, and will continue to have, profound impli ... more

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Künstliche Intelligenz und ethische Verantwortung

Michael Reder, Christopher Koska

Bielefeld: transcript Verlag (2024), 264 pp.

"Wie sieht ethische Verantwortung im Zeitalter der Digitalisierung, Datafizierung und Künstlichen Intelligenz aus? Die Beiträger*innen geben fundierte Einsichten in die KI-gestützte Entscheidungs- und Urteilsfindung. Von der digitalen Operationalisierung über die Rolle des Menschen im Zentrum de ... more

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Inteligência Artificial e Algoritmos: Desafios e oportunidades para os media

Adriana Gonçalves, Luísa Torre, Paulo Victor Melo (eds.)

Covilhã: Universidade da Beira Interior (2024), 169 pp.

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AI as a Public Good: Ensuring Democratic Control of AI in the Information Space. Policy Framework

Forum on Information & Democracy (2024), 140 pp.

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From human-centered to social-centered artificial intelligence: Assessing ChatGPT’s impact through disruptive events

Skyler Wang, Ned Cooper, Margaret Eby

Big Data & Society, issue October–December (2024), 14 pp.

"Large language models (LLMs) and dialogue agents represent a significant shift in artificial intelligence (AI) research, particularly with the recent release of the GPT family of models. ChatGPT’s generative capabilities and versatility across technical and creative domains led to its widespread ... more

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United Nations Activities on Artificial Intelligence (AI) 2023

Geneva: ITU (2024), xviii, 366 pp.

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The gendered dress of DALL-E 2: Exploring profession-based images in the Indian context

Musthafa Mubashir

MedieKultur: Journal of Media and Communication Research, issue 76 (2024), pp. 100-119

"This study delves into the intricate realm of gender and artificial intelligence (AI) through an examination of DALL-E 2-generated images within the Indian context. It takes a methodological approach that focuses on assessing images generated in response to prompts such as ‘a farmer cultivating c ... more

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AI in Journalism Challenge 2023. Final Report

David Caswell

New York: Open Society Foundations (2024), 60 pp.

"This report describes the Applied AI in Journalism Challenge (AIJC)—a competitive accelerator program intended to prototype pragmatic applications of artificial intelligence (AI) capabilities in mission-driven newsrooms around the world. The program was launched in June 2023 and ran until Novembe ... r 2023. Funding was provided by the Open Society Foundations. The author of this report was the lead consultant for the project. The AIJC program was the first of its kind and therefore was itself a prototype—both of a process for accelerating the pragmatic adoption of AI within newsrooms, and also of an approach to developing investment opportunities around applying AI to news. The program was largely successful, developing a cohort of capable and motivated teams and actively engaging with them as they developed substantial new capabilities. The program also succeeded in producing a range of practical insights for its different stakeholder groups—newsrooms, program operators, investors, and the news industry generally. This report provides a complete record of the AIJC program. The primary intention in writing it is to contribute the experience and insights accumulated during the program to the global journalism community, and to provide sufficient detail and specificity to be directly useful to anyone seeking to apply those lessons to hands-on projects, accelerator programs, and investments. The first section of the report provides a systematic description of the program, including why it was initiated, what it was trying to achieve, how it was set up, and how it actually played out in practice. The second section reviews the tangible outcomes of the program and describes the “funneling” of projects from the proposals in the initial applications, to the teams selected to participate in the program, to the finalist projects, to the eventual program winner (and runner up). The third section lists the specific lessons learned by the AIJC community, one by one, with a detailed explanation of each lesson and the evidence for it from the program. The fourth section gathers and analyzes these lessons to provide a succinct set of specific recommendations, organized for newsrooms, for operators of similar AI in news accelerator programs, for investors, and finally for the global news ecosystem. The fifth and final section draws on those lessons to look into the near future and offers some general opinions and guidance for changes that we might anticipate for news in the age of AI, as well as some guidance for preparing journalism for that transformation." (Introduction, page 4) more

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The emergence of artificial intelligence ethics auditing

Daniel S. Schiff, Stephanie Kelley, Javier Camacho Ibáñez

Big Data & Society, issue October–December (2024), 16 pp.

"The emerging ecosystem of artificial intelligence (AI) ethics and governance auditing has grown rapidly in recent years in anticipation of impending regulatory efforts that encourage both internal and external auditing. Yet, there is limited understanding of this evolving landscape. We conduct an i ... more