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Introduction to AI Safety, Ethics, and Society

Dan Hendrycks

Boca Raton; London: CRC Press (2024), xvi, 543 pp.

"As AI technology is rapidly progressing in capability and being adopted more widely across society, it is more important than ever to understand the potential risks AI may pose and how AI can be developed and deployed safely. Introduction to AI Safety, Ethics, and Society offers a comprehensive and ... more

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Haarlem Declaration: Championing AI for Advancing Inclusive, Safe, and Reliable Digital Media Spaces!

RNW Media (2024), 11 pp.

External Link (103)

Google Scholar (88)

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Handbook on the Ethics of Artificial Intelligence

David J. Gunkel (ed.)

Northampton: Edward Elgar Publishing (2024), ix, 326 pp.

"This engaging Handbook critically examines the moral opportunities and challenges surrounding artificial intelligence. It provides a comprehensive overview of the most pressing problems concerning this technology by drawing on a wide range of analytical methods, traditions and approaches. Advocatin ... more

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Disaster Management: The Standards Perspective

ITU-WMO-UNEP Focus Group on AI for Natural Disaster Management

Geneva: ITU (2024), viii, 14 pp.

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AI and the Environment: International Standards for AI and the Environment

Geneva: ITU (2024), vi, 43 pp.

"International standards provide the guidelines and benchmarks needed to measure and improve the environmental impact of AI. Codifying established best practices, standards help mitigate risks such as high energy consumption and lifecycle emissions. They also provide measurement methodologies to ass ... 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

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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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Artificial Intelligence (AI) Adoption by Civil Society Organizations (CSOs) in Zambia. A Survey Report

Internews; FHI 360; USAID (2024), 16 pp.

"The findings reveal that 44% of CSOs are currently utilizing AI tools, with generative AI being the most popular, while 96% of non-users are considering future integration. However, 54% have not yet adopted AI. Perceptions of AI’s impact on job security vary, with 48% seeing no threat, 13% percei ... more

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Inteligencia Artificial y Comunicación

Lizy Navarro Zamora, Jorge Alberto Hidalgo Toledo, Griselda Guillén Ojeda, Edith Cortés Romero, Miriam Herrera Aguilar et al. (eds.)

RIA Editorial (2024), 370 pp.

External Link (112)

Indigenizing Emerging Technologies

Cultural Survival Quarterly, volume 48, issue 1 (2024), pp. 8-25

"Addressing a rarely-examined intersection, the magazine features eight articles highlighting the use of technology in Indigenous communities. These include AI’s role in exacerbating violence and inequality, the use of AI in tracking salmon migration, Indigenous representation in video games, and ... more

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Digital Agriculture: A Standards Snapshot

ITU-FAO Focus Group on AI and IoT for Digital Agriculture

Geneva: ITU (2024), xi, 14 pp.

Google Scholar (91)

WorldCat (109)

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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A feeling for the algorithm: Diversity, expertise, and artificial intelligence

Catherine Stinson, Sofie Vlaad

Big Data & Society (2024), 13 pp.

"Diversity is often announced as a solution to ethical problems in artificial intelligence (AI), but what exactly is meant by diversity and how it can solve those problems is seldom spelled out. This lack of clarity is one hurdle to motivating diversity in AI. Another hurdle is that while the most c ... more

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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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AI for Climate Action: Applications and Principles in Development Cooperation

Katelin Butler, Moritz Harzbecher, Sven Marc Egbers, Lea Voigt, Erik Lehmann, Ruth Schmidt

Bonn; Eschborn: Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) (2024), 16 pp.

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Artificial Intelligence and Democracy

Daniel Innerarity

Paris; Montevideo: UNESCO (2024), 23 pp.

External Link (98)

Constructive AI Compass: Knowledge, Tools and Tips for Everyday Journalism

Bonn: Bonn Institute (2024), 72 pp.

"This little booklet is brimming with AI knowledge and sample prompts that can help with brainstorming ideas, conducting research and preparing for interviews. How does artificial intelligence work? How did it come about, and what impact does it have on the environment? What are the legal parameters ... more

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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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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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Vilify, ridicule, disinform: Political communication and media trust in the age of generative AI

Christian Schwieter, Milan Gandhi

Potsdam: Friedrich Naumann Foundation; Institute for Strategic Dialogue (ISD) (2024), 23 pp.

"This report examines political communication and media trust in the age of generative artificial intelligence systems (AI). Firstly, it provides a brief explainer of generative AI tools and techniques, looking separately at systems that generate text and those that generate or manipulate images, vi ... more