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Mapping Scholarship on Algorithmic Bias: Conceptualization, Empirical Results, and Ethical Concerns

Seungahn Nah, Jun Luo, Jungseock Joo

International Journal of Communication, volume 18 (2024), pp. 548-569

"As artificial intelligence (AI) becomes more seamlessly integrated into our social life, the unfair outcomes and ethical issues associated with AI and its subtechnologies have been widely discussed in scholarly work across disciplines in recent years. This study provides an overview of the conceptu ... 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

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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Stratégie Continentale sur l’Intelligence Artificielle: Mettre l'IA au Service du Développement et de la Prospérité de l'Afrique

Union Africaine (2024), 63 pp.

"Pour l'Afrique, l'IA pourrait avoir un impact significatif sur la réalisation des aspirations de l'Agenda 2063 et des Objectifs de Développement Durable (ODD). Elle est considérée comme un moteur de changement positif, de transformation socio-économique et de renaissance culturelle. L'IA peut ... stimuler la croissance économique, créer de nouvelles industries, motiver l’innovation, générer des opportunités d'emploi, développer de nouveaux créneaux d'activité économique pour les femmes et les jeunes, soutenir la préservation du patrimoine culturel de l'Afrique et aider à résoudre quelques défis complexes et urgents de l'Afrique dans les domaines de la santé, de l'agriculture, de l'éducation, des finances, de la prestation des services publics et bien d'autres encore. La stratégie continentale de l'Union africaine (UA) en matière d'IA s'aligne sur les aspirations de l'UA en matière de développement inclusif ainsi que sur ses valeurs fondamentales. Guidée par les principes d'éthique, d'inclusion et de diversité, des droits de l'homme et de dignité humaine, de bien-être des personnes, de paix et de prospérité, elle donne la priorité au développement et à l'adaptation des systèmes d'IA au contexte africain. Cette stratégie propose une approche inclusive, centrée sur l'Afrique et axée sur le développement autour de cinq domaines d'intervention notamment : tirer le meilleur parti possible des avantages de l'IA, renforcer les capacités en matière d'IA, minimiser les risques, stimuler l'investissement et favoriser la coopération. Elle définit une vision commune et identifie les interventions clés en matière de politique pour permettre au continent d'exploiter l'énorme potentiel de l'IA tout en relevant les défis sociétaux, éthiques, sécuritaires et juridiques associés aux transformations induites par l'IA. Avec cette stratégie continentale en matière d'IA, l'Afrique est en train de poser les fondements nécessaires pour devenir une partie intégrante de la révolution de l'IA en optimisant ces avantages et en libérant son très grand potentiel pour ouvrir de nouvelles perspectives pour tous les citoyens. La population africaine, jeune et technophile, est bien placée pour adopter les technologies innovantes et les mettre au service de la transformation économique et sociale." (Avant-propos) 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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Latin America in a Glimpse 2024: Reflexiones para una IA comunitaria y feminista

Derechos Digitales (2024), 37 pp.

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United Nations Activities on Artificial Intelligence (AI) 2023

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

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Consultation Paper on AI Regulation: Emerging Approaches Across the World

Juan David Gutiérrez

Paris: UNESCO (2024), 49 pp.

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Foundation models are platform models: Prompting and the political economy of AI

Sarah Burkhardt, Bernhard Rieder

Big Data & Society, issue April-June (2024), 15 pp.

"A recent innovation in the field of machine learning has been the creation of very large pre-trained models, also referred to as ‘foundation models’, that draw on much larger and broader sets of data than typical deep learning systems and can be applied to a wide variety of tasks. Underpinning ... 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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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.

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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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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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Approaches to an ethical development and use of AI in the Cultural and Creative Industries

Bonn: German Commission for UNESCO (2024), 8 pp.

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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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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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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.

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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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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

Religion and Artificial Intelligence: An Introduction Deep Insights

Religion and Artificial Intelligence: An Introduction
Deep Insights