mediadev library

Filter

220

Sort by:

Direction:

Investigating AI datasets: A journalist's guide

Kathleen Siminyu, Christo Buschek

Bonn: Deutsche Welle DW Akademie (2025)

"Algorithms today are more complex than ever. With the rise of large language models (LLMs), they have become increasingly unexplainable and non-deterministic. Even experts often fail to understand why an algorithm yields a particular outcome. It is through the datasets used to train those algorithm ... more

External Link (13)

Google Scholar (13)

WorldCat (13)

Introduction to the ethics of emerging technologies

Wessel Reijers, Mark Coeckelbergh, Mark Thomas Young

Cham: Palgrave Macmillan (2025), xiii, 227 pp.

"Offers a set of lecture and seminar course materials for teaching ethics of emerging technologies. It covers the field in a comprehensive and accessible manner, emphasizing storytelling and examples, practical approaches and tools, and interactive assignments. The book addresses historical and curr ... more

Download (19)

Thinking with AI: Machine Learning the Humanities

Hannes Bajohr (ed.)

London: Open Humanities Press (2025), 269 pp.

Download (38)

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

External Link (119)

Antiqua et nova: Note über das Verhältnis von künstlicher Intelligenz und menschlicher Intelligenz

Dikasterium für die Glaubenslehre, Dikasterium für die Kultur und die Bildung

Bonn: Sekretariat der Deutschen Bischofskonferenz (2025), 83 pp.

"Es ist daher von entscheidender Bedeutung, einzelne Anwendungen in bestimmten Kontexten kritisch zu bewerten, um festzustellen, ob sie die Würde und Berufung des Menschen und das Gemeinwohl fördern oder nicht. Wie bei vielen Technologien sind die Auswirkungen der verschiedenen KI-Anwendungen zu B ... more

Download (37)

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

External Link (136)

Rethinking Open Source in the Age of Foundational AI Models
Deep Insights

Greg Maly

ICTworks, July 29 (2025)

"As the global artificial intelligence community wrestles with the tension between scale and accessibility, recent work by researchers at Lelapa AI offers a compelling example of what inclusive, efficient AI can look like. Around the world, the push to shrink massive language models into deployable, ... more

Google Scholar (111)

WorldCat (125)

Intelligence artificielle et emploi en Afrique: Analyse des impacts de la digitalisation du travail

Ibrahim Kalil Konaté, Michel Boukar

Robert Beugré Mambé (preface)

Paris: L'Harmattan (2025), 267 pp.

"Ce livre étudie les effets de l’intelligence artificielle (IA) et de la digitalisation sur l’emploi en Afrique, en usant d’une méthodologie à deux articulations. D’une part, l’analyse des effets directs de l’IA : destruction d’emplois traditionnels dans des secteurs-clés (agricult ... more

Download (26)

The Routledge Handbook of Artificial Intelligence and Philanthropy
Deep Insights

Milos Maricic, Giuseppe Ugazio (eds.)

London; New York: Routledge (2025), xxv, 57o pp.

"The Routledge Handbook of Artificial Intelligence and Philanthropy acts as a catalyst for the dialogue between two ecosystems with much to gain from collaboration: artificial intelligence (AI) and philanthropy. Bringing together leading academics, AI specialists, and philanthropy professionals, it ... more

Download (21)

Just Hiring! How to counter discrimination in AI-assisted recruiting within your organisation. A toolkit for HR professionals

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

FINDHR Fairness and Intersectional Non-Discrimination in Human Recommendation (2025), 73 pp.

"In this Toolkit, we offer introductory information and concrete recommendations on how to mitigate the risk of discrimination in algorithmic hiring systems within organisations. This Toolkit addresses HR professionals and recruiting agencies and intends to help them gain a better understanding of w ... more

Google Scholar (95)

WorldCat (98)

Fundamentos en competencias digitales

Marianella Sánchez Sobrino, Amado Vásquez Sanez, Carlos Tanaka Palao

Lima: Universidad San Ignacio de Loyola, Fondo Editorial (2025), 169 pp.

"[... ] la presente guía se fundamenta en el marco [conceptual europeo] DigComp 2.2, que establece un estándar claro sobre las competencias digitales necesarias para interactuar en el mundo actual. A lo largo de este documento, abordamos cinco competencias clave: búsqueda y gestión de informaci� ... more

Download (58)

Power Hungry: How AI Will Drive Energy Demand

Christian Bogmans, Patricia Gomez Gonzalez, Ganchimeg Ganpurev, Giovanni Melina, Andrea Pescatori, Sneha Thube

Washington, DC: International Monetary Fund (IMF) (2025), 28 pp.

"The development and deployment of large language models like ChatGPT across the world requires expanding data centers that consume vast amounts of electricity. Using descriptive statistics and a multi-country computable general equilibrium model (IMF-ENV), we examine how AI-driven data center growt ... more

Download (31)

Democracy and AI: How Technological Progress Can Strengthen Democratic Structures

Nikolai Horn, Matthieu Binder

Potsdam; Berlin: Friedrich Naumann Foundation; iRights.Lab (2024), 39 pp.

"[...] this paper presents approximately 30 worldwide examples of successful AI use to promote various aspects of democracy. At the same time, the corresponding challenges that need to be addressed are highlighted. From the examination of international examples, the following theses can be derived: ... more

Download (29)

Introduction to Digital Humanism: A Textbook
Deep Insights

Hannes Werthner, Carlo Ghezzi, Jeff Kramer, Julian Nida-Rümelin, Bashar Nuseibeh, Erich Prem, Allison Stanger (eds.)

Cham: Springer Nature (2024), 637 pp.

"This open access textbook introduces and defines digital humanism from a diverse range of disciplines. Following the 2019 Vienna Manifesto, the book calls for a digital humanism that describes, analyzes, and, most importantly, influences the complex interplay of technology and humankind, for a bett ... more

Download (12)

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

Download (9)

Continental Artificial Intelligence Strategy: Harnessing AI for Africa’s Development and Prosperity

African Union (2024), 63 pp.

"For Africa, AI has the potential to significantly impact the attainment of Agenda 2063 Aspirations and the Sustainable Development Goals (SDGs). It is seen as a driving force for positive change, socio-economic transformation and cultural renaissance. AI can stimulate economic growth, create new in ... more

External Link (71)

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

Download (23)

Artificial Intelligence and International Cultural Relations: Challenges and Opportunities for Cross-Sector Collaboration

Octavio Kulesz

Stuttgart: Institut für Auslandsbeziehungen (ifa) (2024), 120 pp.

"The integration of AI systems has profoundly transformed multiple dimensions of international cultural relations (ICR). Notably, changes in recent years have accentuated imbalances among languages, affected the situation of cultural sectors, and impacted the integrity of information while also prov ... more

Download (42)

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

Rethinking Open Source in the Age of Foundational AI Models Deep Insights

The Routledge Handbook of Artificial Intelligence and Philanthropy Deep Insights

Introduction to Digital Humanism: A Textbook Deep Insights

Rethinking Open Source in the Age of Foundational AI Models
Deep Insights

The Routledge Handbook of Artificial Intelligence and Philanthropy
Deep Insights

Introduction to Digital Humanism: A Textbook
Deep Insights