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Künstliche Intelligenz im medialen Diskurs: Wird soziale Gerechtigkeit ausgeblendet?

Elke Grittmann, Lina Brink, Peter Kann

Frankfurt am Main: Otto Brenner Stiftung (2025), 84 pp.

[.] Auf Basis von über 2.000 Artikeln aus neun reichweitenstarken Print- und Onlinemedien untersuchen die Autor*innen, welche Themen in der Berichterstattung über KI gesetzt, wie Bezüge zu Fragen sozialer Gerechtigkeit hergestellt werden, welche narrativen Muster sich zeigen und welche Akteur*inn ... more

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Just Hiring! How to counter discrimination in AI-powered software for recruitment. A toolkit for software developers

M. Daviet, N. Baranowska, A. Mueller, C. Rus, C. Castillo, J. Saldivar, A. Gatzioura

FINDHR Fairness and Intersectional Non-Discrimination in Human Recommendation (2025), 86 pp.

"In this Toolkit, we offer introductory information and technical recommendations on how to mitigate the risk of discrimination in software development of systems used for recruitment. This Toolkit addresses software developers and product managers working or interested in this field, and it intends ... more

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Key Questions for AI in Public Institutions: Prompts and Resources to Spark Critical Conversation
Key Guides

Tanja Dreher, Georgia van Toorn

Sydney: University of New South Wales (UNSW), UARC Centre of Excellence for Automated Decision-Making and Society. (2025), 30 pp.

""In this think piece we sketch the impacts and implications of corporate AI for institutions with a public interest orientation. We focus on public universities and social services as vital public institutions that have been widely understood as essential to democracy and social justice. Through a ... more

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Künstliche Intelligenz in politischen Kampagnen: Akzeptanz, Wahrnehmung und Wirkung

Simon Kruschinski, Pablo Jost, Hannah Fecher, Tobias Scherer

Frankfurt am Main: Otto Brenner Stiftung (2025), 108 pp.

"Im ersten Teil geben wir einen Überblick über den Einsatz von generativer KI in der politischen Kampagnenkommunikation. Insbesondere die generativen KI-Tools ChatGPT und Midjourney werden zunehmend in politischen Kampagnen eingesetzt, um menschenähnliche Texte beziehungsweise fotorealistische Bi ... more

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Guidelines for the mindful and ethical use of AI

Aachen: Catholic Media Council (CAMECO) (2025), 2 pp.

Understand AI and its Tools -- Understand Algorithms -- Maintain a Critical Perspective -- Protect Your Data—And Others' Too -- Stay Informed about AI Ethics and Policy -- Use AI Thoughtfully—Not for Everything

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Considerations and Practical Applications for Using Artificial Intelligence (AI) in Evaluations

D. Cekova, L. Corsetti, S Ferretti, S. Vaca

Rome: CGIAR Independent Advisory and Evaluation Service (IAES) (2025), 42 pp.

" Guided by the CGIAR-wide Evaluation Framework, integrating AI tools requires a governance approach to balance innovation with ethical responsibility, ensuring transparency, fairness, accountability, and inclusivity. This Technical Note encourages and guides CGIAR evaluators to ethically explore, n ... egotiate, and experiment with AI tools: Explore: Evaluators are invited to discover how AI, especially GenAI, can enhance evaluation efficiency, from scoping and data analysis to reporting. The Note provides practical guidance on AI applications and examples to support creative yet responsible exploration. Negotiate: Integrating AI should be openly discussed with commissioners, stakeholders, and teams. The Note prioritizes jointly defining boundaries, expectations, and ethical parameters (transparency, accountability, and data sensitivity) at each phase of evaluation. Use AI Responsibly: While AI tools are evolving, evaluators are encouraged to pilot and iterate their use. The document supports experimentation through practical tips, prompt examples, and tool selection criteria, all while emphasizing documentation and learning from each use case. Effective AI governance is grounded in core principles: Transparency requires clear documentation of AI tool usage, data sources, model limitations, and decision-making processes. Accountability involves assigning responsibility for AI decisions and outputs and establishing oversight and redress mechanisms. Fairness and inclusion must proactively mitigate bias and discrimination, with particular attention to underrepresented groups and data gaps. Data privacy and security must align with applicable data protection regulations and ensure secure handling practices. Human oversight ensures that evaluators retain control over processes and can intervene as needed. In operationalizing ethical AI governance in CGIAR evaluations, due diligence is required in assessing AI tools for ethical alignment before deployment: reviewing the transparency of vendors, the documentation of models, and their intended use cases. Where relevant, components involving AI—especially those engaging human subjects or sensitive data—should undergo ethics review. AI applications must be adapted to the local and cultural contexts in which evaluations are conducted, as what is suitable in one setting may be inappropriate in another. Additionally, participants should be informed about the use of AI systems and the implications of data collection or processing to ensure informed consent. Ethical AI governance should be embedded in the entire evaluation lifecycle. During the design phase, evaluators should define AI tools to use, why they are selected, and assess risks. In data collection, AI tools should be used in ways that uphold data privacy and protection standards and avoid reinforcing harmful stereotypes or excluding groups. During the analysis phase, the role of AI in supporting interpretation should be documented, with an acknowledgment of limitations or biases. In dissemination, documentation, and reporting, AI’s contribution, limitations, and human validation should be disclosed. By rapid adaptation of content across formats, languages, and complexity levels, AI opens possibilities for broader, more inclusive communication of findings. Finally, the follow-up phases should include a reflection on the ethical implications observed and how these lessons can improve future evaluations." (Executive summary) more

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AI for Good Innovate for Impact. Interim Report 2025

Geneva: ITU (2025), xxxiv, 828 pp.

"Artificial intelligence (AI) is reshaping the way we address complex societal challenges, offering new possibilities in areas such as healthcare, climate resilience, education, and digital inclusion. The Innovate for Impact project was launched in 2024 to identify, support, and showcase practical A ... more

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Inteligência Artificial e Jornalismo Móvel: Contextos, Tendências, Práticas e Perspectivas

João Canavilhas, Catarina Rodrigues, Fábio Giacomelli (orgs.)

Covilhã: Universidade da Beira Interior (2024), 270 pp.

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Repairing the harm: Toward an algorithmic reparations approach to hate speech content moderation

Chelsea Peterson-Salahuddin

Big Data & Society, issue April-June (2024), 13 pp.

"Content moderation algorithms influence how users understand and engage with social media platforms. However, when identifying hate speech, these automated systems often contain biases that can silence or further harm marginalized users. Recently, scholars have offered both restorative and transfor ... 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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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 Ethics from the Majority World: Reconstructing the Global Debate through Decolonial Lenses, 23. - 24. May 2024

Bonn: Bonn University, Institute for Science and Ethics (IWE) (2024)

"To foster a multifaceted perspective on AI ethics, a pluriversal approach needs to be employed. This two-day workshop “AI Ethics from the Majority World: Reconstructing the Global Debate Through Decolonial Lenses” offers a forum to discuss alternatives to the status quo of AI ethics. Hosted by ... 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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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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Mentorship toolkit: Creating sustainable business and funding models with open source AI

Villgro Africa

Bonn; Eschborn: Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ); FAIR Forward - Artificial Intelligence for All (2024), 48 pp.

"This toolkit is designed to help you create and run a successful mentorship program that will support and empower opensource AI entrepreneurs to develop sustainable businesses and funding models for their projects. Open source AI is a rapidly growing field that offers many opportunities for innovat ... more

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Systematic Prejudices: An Investigation into Bias Against Women and Girls in Large Language Models

Noah Siegel, Jackie Kay

Paris: UNESCO (2024), 20 pp.

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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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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 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

Key Questions for AI in Public Institutions: Prompts and Resources to Spark Critical Conversation Key Guides

Religion and Artificial Intelligence: An Introduction Deep Insights

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

Key Questions for AI in Public Institutions: Prompts and Resources to Spark Critical Conversation
Key Guides

Religion and Artificial Intelligence: An Introduction
Deep Insights

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