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Pop Quiz! Guess the Number of Responsible AI and Data Guides in Humanitarian Aid

Wayan Vota

ICTworks, December 13 (2024)

"A quick search found 53 published documents with guidance on the ethical and responsible use of AI, data, or digital technology in humanitarian contexts. Many of these initiatives are relatively recent, reflecting the growing awareness of data privacy and AI transparency." (Introduction)

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Generative artificial intelligence as humans’ fourth narcissistic wound

Lucia Santaella, Dora Kaufman

Matrizes, volume 18, issue 1 (2024), pp. 37-53

"The progress of artificial intelligence, particularly with generative AI models, has provoked intense reactions, regardless of whether they are based on the logic and functioning of the technology. Unlike predictive AI, generative AI produces original content by synthesizing texts, images, voices, ... more

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The supply chain capitalism of AI: A call to (re)think algorithmic harms and resistance through environmental lens

Ana Valdivia

Information, Communication & Society (2024), 17 pp.

"Artificial Intelligence (AI) is woven into a supply chain of capital, commodities and human labour that has been neglected in critical debates. Given the current surge in generative AI – which is estimated to drive up the extraction of natural resources such as minerals, fossil fuels or water – ... more

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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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Digital Agriculture: A Standards Snapshot

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

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

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Artificial intelligence as planetary assemblages of coloniality: The new power architecture driving a tiered global data economy

Kai-Hsin Hung

Big Data & Society, issue October–December (2024), 7 pp.

"We present a framework for viewing artificial intelligence (AI) as planetary assemblages of coloniality that reproduce dependencies in how it co-constitutes and structures a tiered global data economy. We use assemblage thinking to map the coloniality of power to demonstrate how AI stratifies acros ... more

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Religion and Artificial Intelligence: An Introduction
Deep Insights

Beth Singler

London; New York: Routledge (2024), ix, 217 pp.

"Artificial intelligence (AI) is rarely out of the news or the public imagination. Images of red-eyed Terminators illustrate press accounts of incremental advances in medical diagnosis, facial recognition, natural language processing, and robotics. Such advances are transforming society through meas ... more

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AI Governance Ethics: Artificial Intelligence with Shared Values and Rules
Deep Insights

Christoph Stückelberger, Maria Merchán Rocamora, Divya Singh, Pavan Duggal (eds.)

Geneva: Globethics (2024), 519 pp.

"Artificial Intelligence influences already almost all sectors of society, from production, consumption and recycling of products to education and media, from agriculture to military. The search for AI governance from voluntary standards to international convention and standards is fast and urgent. ... more

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Latin America in a Glimpse 2024: Reflexiones para una IA comunitaria y feminista

Derechos Digitales (2024), 37 pp.

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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

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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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United Nations Activities on Artificial Intelligence (AI) 2023

Geneva: ITU (2024), xviii, 366 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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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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Red lines for AI: Resisting surveillance, reclaiming privacy

Article 19 (2024), 26 pp.

"This report identifies the contextual, social, and political factors that may shape decisions on whether to call for red lines on the use of artificial intelligence (AI) or whether to focus on other routes to challenging use cases, including through engagement with companies and the use of regulato ... more

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How to Detect and Analyse Identity-Based Disinformation/FIMI: A Practical Guide to Conduct Open Source Investigations

European Union; European External Action Service (EEAS) (2024), 31 pp.

"The “OSINT Toolkit to Detect and Analyse IBD-focused FIMI” serves as a comprehensive guide for conducting open-source intelligence (OSINT) investigations, specifically addressing incidents and campaigns of Foreign Information Manipulation and Interference (FIMI) that weaponise identity-based di ... more

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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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Analysing chatbots during the German state elections 2024. Digging deeper into generative AI and elections: A systemic investigation of election-related answers and safeguards from Large Language Models

Oliver Marsh, Clara Helming, Mira Zimmermann, Tilman Loos, Kira Mössinger, Emilia Annacker, Stella Heine

Berlin: Algorithm Watch (2024), 32 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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Disinformation and Peacebuilding in Sub-Saharan Africa: Security Implications of AI-Altered Information Environments

Eduardo Albrecht, Eleonore Fournier-Tombs, Rebecca Brubaker

New York, Geneva: United Nations University (UNU) (2024), 39 pp.

"[...] this report aims to further explore the way in which AI technologies as they currently stand impact peace and conflict, and what methods might be used to mitigate their adverse effects - through the development of better tools and the inclusion of peace and conflict considerations in AI gover ... nance frameworks. The report presents the following findings: 1. AI is a driver of disinformation which adversely impacts peacebuilding efforts. 2. There are several ways to mitigate AI-powered disinformation. 3. AI can also be used to promote peacebuilding, although these mechanisms are still in their early stages. In relation to these findings, the report proposes the following recommendations: 1. More funding and support should be provided to civil society organizations’ efforts to expand media literacy and fact-checking initiatives using AI tools to enhance capabilities. 2. Governments need to work with civil society to develop and implement comprehensive, transparent legal frameworks combating disinformation. These legislative measures need to support digital and media literacy campaigns and fact-checking organizations. 3. Social media companies need to expand investment and research into understanding local information environments, so they can better identify and respond to instances of disinformation in all contexts in which they operate and enhance transparency. 4. Peacebuilding organizations need to carefully consider local media ecosystems and information environments when conducting conflict analyses, and factor these dynamics into their projects’ frameworks. Currently, disinformation exacerbates existing grievances and polarization, can act as a trigger for violence, leads individuals to make decisions based on false information, and creates or intensifies mistrust of institutions and international peacebuilding efforts. The efforts of journalists and civil society organizations to combat these effects, primarily through media literacy initiatives and factchecking, cannot keep up with the scope and scale of ‘fake news.’ Generative AI will increase the rate at which false content is produced and disseminated, and the quality or ‘believability’ of such content. Governments, civil society, and social media companies must work in tandem to combat the spread of disinformation and the impact it can have on peacebuilding efforts and security in sub-Saharan Africa." (Executive summary) more

Religion and Artificial Intelligence: An Introduction Deep Insights

AI Governance Ethics: Artificial Intelligence with Shared Values and Rules Deep Insights

Religion and Artificial Intelligence: An Introduction
Deep Insights

AI Governance Ethics: Artificial Intelligence with Shared Values and Rules
Deep Insights