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Measuring what matters: How to assess AI’s environmental impact

Geneva: ITU (2025), viii, 21 pp.

This report synthesizes key findings from a diverse range of sources, including academic literature, corporate sustainability initiatives, and emerging environmental tracking tools. Collectively, these documents provide a thorough overview of current methodologies for evaluating the environmental im ... more

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Intelligence artificielle et robotique autonome: Enjeux et défis contemporains dans l’espace francophone

Etienne Damome, Moustapha Ben Ismïila Diaby (eds.)

Paris: L'Harmattan (2025), 358 pp.

"Cet ouvrage propose une analyse nuancée des transformations induites par l'IA et la robotique autonome dans l'espace francophone. Il insiste sur son potentiel à façonner durablement les sociétés contemporaines. S'appuyant sur des exemples concrets et des études de cas, l'ouvrage fournit un ca ... more

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Inclusive and Secure Artificial Intelligence: A Global Perspective on Policy and Technical Developments
Deep Insights

Saiph Savage, Lili Savage

Stuttgart: Institut für Auslandsbeziehungen (ifa) (2025), 84 pp.

"As AI systems are developed and deployed, they often reflect and reinforce dominant cultural norms, marginalizing non-Western languages, epistemologies, and communities. This report explores the systemic risks associated with algorithmic bias, digital colonialism, and cultural homogenization, while ... more

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Information Ecosystems and Troubled Democracy: The State of Knowledge on News Media, AI, and Data Governance

Robin Mansell, Flavia Durach, Matthias C. Kettemann, Théophile Lenoir, Rob Procter, Gyan Prakash Tripathi, Emily Tucker

Göteborg: Nordicom, University of Gothenburg; Observatory on Information and Democracy (2025), 305 pp.

"A critical assessment of why today’s information ecosystems are troubling for democracy, this book, based on research in the Global North and Global Majority World, examines changes in news media, artificial intelligence, and data governance. It focuses on measures to improve the quality of publi ... more

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Índice Latinoamericano de Inteligencia Artificial (ILIA) 2025
Deep Insights

Álvaro Soto, Rodrigo Durán, Antonia Moreno, Sebastián Adasme, Sebastián Rovira, Valeria Jordán, Laura Poveda (coord.)

Santiago de Chile: Comisión Económica para América Latina y el Caribe (CEPAL); Centro Nacional de Inteligencia Artificial (2025), 195 pp.

"El Índice Latinoamericano de Inteligencia Artificial (ILIA) constituye un esfuerzo pionero para medir de manera sistemática el avance de la IA en 19 países de la región. El ILIA busca no solo monitorear el grado de preparación, adopción y gobernanza, sino también difundir buenas prácticas, ... además de ser un instrumento para orientar políticas públicas que incorporen la IA al modelo de desarrollo de los países de manera integral. El índice se organiza en tres dimensiones: Factores Habilitantes (infraestructura digital, talento humano y datos), Investigación, Desarrollo y Adopción, y Gobernanza. A partir de más de cien subindicadores, el ILIA 2025 ofrece un panorama detallado sobre avances, brechas y oportunidades estratégicas en el despliegue de la IA en América Latina y el Caribe. [...] Once hallazgos principales del ILIA 2025: i) El despertar de los adoptantes tardíos. Ecuador, Costa Rica, República Dominicana y Guatemala muestran mejoras aceleradas en conectividad, talento y estrategias de IA, reduciendo distancia con los países líderes, y abriendo oportunidades que parecían improbables para una cooperación regional. ii) Código abierto: la oportunidad para América Latina y el Caribe. El alto desempeño de Honduras, El Salvador y Cuba en producción de software abierto confirma que este modelo ofrece una vía estratégica para desarrollar soluciones locales, fomentar la colaboración regional y el aprendizaje colectivo, además de promover la transparencia algorítmica. iii) Muchos datos, pero poca disponibilidad. La región produce grandes volúmenes de información, pero su apertura y estandarización siguen siendo limitadas. Esto restringe la ciencia abierta, reduce la transparencia y frena el desarrollo de soluciones locales de IA. iv) Talento humano: alfabetización, poca especialización. La alfabetización en IA duplica a la formación profesional y cuadruplica al talento especializado. Aunque se amplían programas escolares y posgrados, persiste un embudo en la formación avanzada que limita el potencial de la región para producir soluciones propias. v) Talento e infraestructura para la soberanía digital. Brasil concentra más del 90% de la capacidad de cómputo de alto rendimiento de la región. Aunque Uruguay, Costa Rica y Colombia muestran mejores indicadores per cápita en Unidades de Procesamiento Gráfico (GPU por sus siglas en inglés), más de la mitad de los países carecen de infraestructura crítica, lo que refuerza asimetrías. Además, 13 de los 19 países no generan habilidades tempranas en IA en el currículo educativo y 11 no cuentan con programas de doctorado en IA en sus universidades. Sin fortalecer estas capacidades endógenas, la región corre el riesgo de generar soluciones de IA sesgadas y con baja pertinencia local. vi) IA Generativa: una oportunidad de democratización del acceso. La IA generativa ha democratizado el acceso y acelerado la adopción gracias a sus bajas barreras de entrada y a interfaces simples que permiten a no expertos usar modelos avanzados. Países como Chile, Costa Rica, Perú, Uruguay, Panamá y República Dominicana destacan en uso, y ALC es ya la tercera región del mundo en descargas de aplicaciones de IA Gen (15%–20%). Esta accesibilidad actúa como catalizador y, junto con el desarrollo de software y el código abierto, compensa déficits de cómputo, abriendo oportunidades para toda la región. vii) IA y participación ciudadana: un cambio de paradigma desaprovechado. Aunque la IA podría revolucionar la democracia digital, su uso se limita en la mayoría de los países a chatbots informativos y no en herramientas de consulta, de rendición de cuentas o de co-creación de políticas públicas. Colombia, México y Perú muestran algunos avances, pero ocho países no registran ningún caso de aplicación. viii) Investigación escasa y concentrada. Brasil y México reúnen el 68% de los investigadores activos en IA y, junto a Colombia, Chile y Argentina, concentran el 90% de las publicaciones. Solo siete países participan en conferencias internacionales de élite, con predominio de Chile y Brasil. La escasa presencia en foros académicos de alto impacto reduce la visibilidad y la transferencia de conocimiento de la IA de la región; la actividad académica sigue rezagada y requiere mayor atención en la mayoría de los países. ix) Gobernanza en IA: mucho plan y poca acción. Nueve países cuentan con estrategias nacionales de IA, pero solo unos pocos han asignado presupuesto, definido planes de implementación o establecidos indicadores de impacto. Sin mecanismos de ejecución, estas estrategias corren el riesgo de quedarse en meras declaraciones. Al mismo tiempo, mientras a nivel global avanza la apertura e interoperabilidad de datos, la región mantiene un ritmo lento, centrado en debates normativos y éticos. El verdadero desafío es equilibrar la regulación con políticas orientadas al desarrollo y a la implementación efectiva de la IA, de modo que esta tecnología genere valor sin frenar la innovación. x) Sustentabilidad: un llamado urgente. Solo cuatro países (Brasil, Chile, Colombia y México) muestran industrias de centros de datos robustas, y uno de cada cinco centros cumple con estándares internacionales de sustentabilidad. La mayoría de las políticas de IA y digitalización omite el impacto ambiental, lo que puede entrar en contradicción con los objetivos de sostenibilidad medioambiental de la región. xi) Emprendimiento en IA: una oportunidad para la región. Los 19 países ILIA concentran sólo el 1,12% de la inversión global en IA y cuenta con empresas unicornios en apenas seis países. No obstante, el ILIA muestra que no es necesaria una matriz productiva compleja para fomentar el desarrollo de empresas de IA locales y el uso de esta tecnología en el sector productivo. Entornos favorables de innovación y emprendimiento, inversión y políticas de desarrollo productivo pueden detonar dinámicas innovadoras." (Resumen ejecutivo, páginas 15-16) 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

Addressing power dynamics in participatory AI for crisis-affected communities: A case-study from Kakuma refugee camp

Sarah W. Spencer et al.

London: CDAC Network, beta version (2025), 8 pp.

"While calls for participatory artificial intelligence (AI) are increasing, there has been an absence of efforts to engage conflict- and crisis-affected communities in the design, delivery and governance of AI solutions in humanitarian contexts. Without meaningful participation, humanitarian AI solu ... 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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Atlas der KI: Die materielle Wahrheit hinter den neuen Datenimperien

Kate Crawford

Bonn: Bundeszentrale für politische Bildung (bpb), Sonderausg. (2025), 336 pp.

"Ist Künstliche Intelligenz nur eine weitere Entwicklung der Digitalisierung des Alltags, eine effiziente Software in einer „Cloud“? Die KI-Forscherin Kate Crawford entlarvt diese verharmlosende Vorstellung und beleuchtet die konkreten Auswirkungen der Technologie auf die physische Welt. Ihre R ... more

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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

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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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Artificial Intelligence Index Report 2025
Deep Insights

Nestor Maslej, Loredana Fattorini et al.

Stanford: Stanford University, Institute for Human-Centered AI (2025), 456 pp.

"Welcome to the eighth edition of the AI Index report. The 2025 Index is our most comprehensive to date and arrives at an important moment, as AI’s influence across society, the economy, and global governance continues to intensify. New in this year’s report are in-depth analyses of the evolving ... more

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Generative AI & Journalism: Content, Journalistic Perceptions, and Audience Experiences

T. J. Thomson, Ryan J. Thomas, Michelle Riedlinger, Phoebe Matich

Melbourne: RMIT University (2025), 39 pp.

"This report brings together six discrete research and engagement activities over a three-year period (2022-24), drawing on fieldwork in seven countries (Australia, Germany, USA, UK, Norway, Switzerland, and France), and focuses on AI in journalism within three broad domains: AI-generated content in ... more

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Engines of Order: A Mechanology of Algorithmic Techniques

Bernhard Rieder

Amsterdam: Amsterdam University Press (2025), 351 pp.

"Software has become a key component of contemporary life and algorithms that rank, classify, or recommend are everywhere. Building on the philosophy of Gilbert Simondon and the cultural techniques tradition, this book examines the constructive and cumulative character of software and retraces the h ... more

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Harnessing the Power of AI: Safe & Ethical Integration. Report of the AI Safety Dialogue at Global Ethics Forum 2025

Geneva: Globethics (2025), 27 pp.

"AI presents both significant opportunities and serious risks. For developing countries, AI offers immense potential for advancing learning, research, and development. At the same time, it poses complex challenges that demand collective action. Diplomats and policymakers recognize that global cooper ... ation and multilateralism are essential. No single nation can manage these challenges alone. International and policy initiatives, including the Global Digital Compact and the AI Safety Summit series, have established broad frameworks for addressing these issues, providing global ideas that now require practical implementation. This report emerges from that momentum. Through Track II Diplomacy for AI Global Safety dialogue, Globethics has built a community of practice bringing together cross-disciplinary experts from across geopolitical contexts to explore AI-related risks and identify existing harms; particularly those affecting the Global Majority. Two principal categories of risks have been identified: 1. Risks triggered by advanced AI systems versus those resulting from the intended or unintended use of AI by human actors. 2. Future risks versus those already manifesting today. The words of UN Secretary-General António Guterres resonated across the sessions: “the question is not whether AI will influence international peace and security, but how we will shape that influence.” While discussions often swing between hype and horror, this report intends to shape pathways towards hope and trust. Trust, essential for AI adoption, is vital for both the private sector and civil society. Likewise, it emphasizes the importance of human rights, without which there can be no sustainable development or peace. At the core of these global AI Safety discussions was the need to advance concrete mitigation strategies, including: capacity building; addressing existing harms; developing operational frameworks; ensuring intersectional, interdisciplinary, cross-sectoral, multistakeholder participation. A coordinated approach to global safety, diplomacy, and multilateral governance is imperative. Experts agreed that tangible measures, rather than fragmented initiatives and principles, are needed. By coming together across regions, disciplines, and cultures, experts reaffirmed their commitment to stewarding technology for the common good. The dialogues converged into three critical priorities to transform today’s innovation into meaningful societal progress: Strengthening inclusive, representative participation using empowerment and literacy measures for people and communities to shape AI futures; building systems of trust, verification and ethical responsibility across the AI lifecycle marked by due diligence, effective reporting and timely safeguards by design; translating values into action, ensuring coordination and accountability from design to deployment." (Executive summary, page 3) more

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Patterns of Inclusion: How Gender Matters for Automation, Artificial Intelligence and the Future of Work

Elisabeth Kelan

Oxford; 9781032669892 (pbk): Routledge (2025), xiv, 169 pp.

"It is widely presumed that digitalisation, automation and artificial intelligence (AI) shape the future of work. Yet gender is rarely considered in those debates. This path-breaking book, written by a leading thinker on gender, inclusion and organisations, Elisabeth Kelan, is based on in-depth rese ... more

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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 in Africa: A Landscape Study

Rachel Adams, Fola Adeleke, Leah Junck, Samule Segun, Ayantola Alayande, Selamawit Abdella, Mark Gaffley, Fabio Andres Diaz Pabon, Funbi Salami

Global Center on AI Governance; African Observatory on Responsible AI (2025), 44 pp.

"Though comprehensive AI regulation is still nascent in Africa, there is an increased focus on national AI strategies, ethical guidelines and international collaborations. Over 40 countries have already established data protection and privacy laws, creating opportunities for harmonised regulations a ... nd a supportive environment for AI innovation. Key continental governance instruments and initiatives also include the African Union’s AI Strategy, the African Continental Free Trade Area and the African Commission on Human and Peoples’ Rights. This report found that the increasing application of AI in key sectors across Africa, such as health, education, finance, agriculture, public services and the environment, necessitates a collaborative approach to ethical AI development and use. This requires addressing persistent infrastructural gaps, developing regional regulatory frameworks, investments in AI research and capacity building efforts as well as promoting multi-stakeholder AI governance initiatives. Key strategies identified include joint investment and funding, pooling resources and supporting sustainable and fair open-source projects, which will help direct efforts toward innovation and regional independence. Open Source AI models are particularly important in Africa where local tech startups can leverage global open-source initiatives to build context-specific solutions. However, concerns regarding data ownership, privacy and ethical AI deployment call for more robust policies for open source AI on the continent. To foster responsible AI innovation, African countries should establish comprehensive AI governance frameworks while adhering to existing laws as well as strengthen regulatory institutions to provide oversight over AI technologies. Regulatory sandboxing also offers a viable approach to enable sage experimentation with appropriate oversight. Regional and international cooperation as well as leveraging public-private partnerships can promote funding for expanding AI research and development initiatives, resolve talent shortages and promote infrastructure development. Africa has a unique opportunity to leverage AI, along with its resources and local young talent, for socioeconomic development. However, to ensure inclusivity and sustainable innovation, it is essential to address infrastructure challenges and establish regulatory frameworks that protect societal wellbeing. Embracing collaborative efforts, including open source initiatives, regional and international partnerships are critical for achieving the continent’s ambitious goals without leaving anyone behind." (Executive Summaty, page 3) more

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Trust, Responsibility, and Digital Governance: Regulation of AI and Blockchain Technology from a Capacity-Based Perspective

Sebastian Bücker, Marcus Düwell, Andreas Kaminski, Michael Leyer (eds.)

Bielefeld: transcript Verlag (2025), 229 pp.

"Numerous ethical guidelines and regulatory frameworks have been developed to assess and shape digital systems. However, these efforts often rest on the dubious assumption that individuals and organisations possess the necessary capacities to assess such systems in terms of justice, reliability, and ... more

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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

Inclusive and Secure Artificial Intelligence: A Global Perspective on Policy and Technical Developments Deep Insights

Índice Latinoamericano de Inteligencia Artificial (ILIA) 2025 Deep Insights

Artificial Intelligence Index Report 2025 Deep Insights

Inclusive and Secure Artificial Intelligence: A Global Perspective on Policy and Technical Developments
Deep Insights

Índice Latinoamericano de Inteligencia Artificial (ILIA) 2025
Deep Insights

Artificial Intelligence Index Report 2025
Deep Insights