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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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State of Internet Freedom in Africa 2025: Navigating the Implications of AI on Digital Democracy in Africa

CIPESA (2025), 74 pp.

"While AI offers potential benefits across various sectors, its deployment by businesses and governments and application by individuals present new opportunities while raising significant concerns. More specifically, most African countries do not have legal or regulatory measures on the ethical and ... 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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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

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Artificial Humanities: A Fictional Perspective on Language in AI

Nina Beguš

Ann Arbor: University of Michigan Press (2025), 283 pp.

"Artificial Humanities explores how the humanities-literature, history, and art-can deepen our understanding of artificial intelligence and its development. By examining fictional representations of AI in parallel with actual technological developments, Nina Beguš presents a novel interdisciplinary ... 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

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Human Development and the Data Revolution
Deep Insights

Sanna Ojanperä, Eduardo López, Mark Graham (eds.)

Oxford: Oxford University Press (2025), xi, 294 pp.

"Human Development and the Data Revolution tackles a topic that in the age of data and digitalization has become timely in global development: what are the potential uses of large-scale data in the contexts of development, in particular, what techniques, data sources, and possibilities exist for har ... more

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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

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Artificial Intelligence's Impact on Persons with Disabilites in Africa
Deep Insights

Jerry John Kponyo, Bernard Chiira, Christopher Harrison, Hanyurwimfura Damien (eds.)

Kwame Nkrumah University of Science and Technology (KNUST); Assistive Technologies for Disability Trust (AT4D); Next Step Foundation; Tangaza University College; Kenya National Commission for Science, Technology, and Innovation (NACOSTI) (2025), ix, 169 pp.

"Artificial intelligence has the potential to improve the daily lives of Persons with Disabilities (PWDs) in Africa in practical, cumulative ways—transcribing, translating, summarizing, personalizing, and predicting to reduce routine frictions in school, work, health, mobility, and access to publi ... c services. The study surveys this emerging landscape across Kenya, Ghana, Rwanda, and comparator contexts, mapping how AI augments assistive technologies (AT) and mainstream services while clarifying the policy, data, and delivery conditions that determine real-world impact. Across sectors, we find promising AI use cases beyond traditional AT. In education, adaptive tutors, captioning, and sign-language tools can widen access, though localized content and language coverage remain thin. In employment, AI can support job matching, accessible applications, task breakdown, and on-the-job accommodations, especially when paired with employer guidance and incentives. In mental health, chatbots can extend scarce services and offer stigma-free entry points to care; caregiver tools use voice, translation, and simple workflows to ease coordination and stress. Mobility and independent living benefit from computer vision, speech interfaces, and early robotics, with African innovators piloting sign-language avatars, personalized speech recognition, and lower-cost bionics. The potential of these advances is real but uneven—most remain pilots, and scale requires fit-for-purpose data, infrastructure, and financing. One binding constraint is data. Disability is systematically under-counted in official statistics and under-represented or misrepresented in AI training sets, creating a “disability data desert” that limits accuracy for African contexts (from atypical speech and local sign languages to recognition of mobility aids). Without deliberate collection, curation, and governance that center PWDs, models will continue to miss or misread disabled users, with downstream harms in inclusion, safety, and opportunity. Building representative, ethical datasets—especially for African languages and disabilities—emerges as a first-order priority alongside affordable computing and connectivity. Policy momentum is encouraging but incomplete. The African Union’s Continental AI Strategy (2025–2030) explicitly names disability inclusion, calling for accessible datasets, skills, and governance. Ghana’s and Kenya’s AI strategies also advance infrastructure, data sharing, and public-sector adoption, although explicit disability provisions are still maturing. Convergence around rights-based, inclusive AI is visible; however, its delivery depends on procurement standards, budgeting for accessibility, and participation by Organizations of Persons with Disabilities (OPDs) in the design and oversight process. The study’s central conclusion is pragmatic: AI’s near-term value for disability inclusion is unlocked where three conditions meet. First, inclusion by design—co-creation with PWDs and OPDs, localized languages, and multi-modal accessibility baked into products and datasets. Second, enabling rules and rails—national strategies that mandate accessibility in digital services, robust disability-relevant data, and align incentives for inclusive procurement. Third, sustainable delivery—hybrid human-AI service models, community channels, and financing that lower costs for users and caregivers while supporting innovators to move from pilots to scale. Where these conditions hold, AI can measurably widen access to learning, work, and care; where they do not, tools plateau as proofs-of-concept and risks of bias and exclusion grow. Overall, the path to disability-inclusive AI in Africa is clear: invest in representative data and affordable infrastructure; mandate accessibility and accountability; and deliver through locally grounded, human-centered services. Done together, these steps turn today’s pilots into equitable, reliable systems that expand agency and opportunity for millions of Africans with disabilities." (Executive summary) more

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The State of AI in Africa Report

Nairobi: Strathmore University, Centre for Intellectual Property and Information Technology Law (CIPIT) (2025), 67 pp.

"The State of AI in Africa Report 2025 offers a critical reflection on how AI ecosystems across the continent have evolved since 2023, highlighting advances in infrastructure, regulatory frameworks, capacity building, and sectoral innovation, while also surfacing enduring structural disparities. Thi ... s report reveals a continent that is no longer on the margins of AI development but actively reshaping how AI is conceived, deployed, and governed. Kenya, South Africa, Nigeria and Ghana have made notable strides in anchoring AI within national digital strategies, strengthening local innovation ecosystems, and investing in foundational infrastructure such as data centres and broadband connectivity. The growing presence of indigenous datasets, grassroots NLP initiatives, and AI models tailored to African realities reflects a broader shift from consumption to creation. Yet this progress remains uneven. While pockets of excellence are emerging, many regions continue to grapple with limited access to reliable electricity, fragmented regulation, data governance challenges, and critical skill shortages. Central Africa, in particular, still faces infrastructural and institutional constraints that hinder meaningful participation in the continental AI space. This report also documents how AI is being embedded in key sectors; agriculture, health, law, and the creative economy to address uniquely African challenges – from crop failure and disease surveillance to language preservation and cultural expression. These use cases affirm the value of locally informed, contextsensitive AI innovation. On the governance front, the adoption of the AU-AI Continental Strategy and the development of national AI policies signal a growing awareness of the need for harmonised, responsible and inclusive AI development. However, effective implementation remains a central concern, particularly around enforcement mechanisms, ethical guardrails, and regional coordination. This report presents a nuanced picture of AI in Africa: one of ambitious experimentation, uneven capacity, and deep potential. Africa’s future in AI depends not only on technological advancement but on the continent’s ability to embed equity, local relevance, and sustainability at the heart of its AI agenda." (Executive summary) more

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De Gruyter Handbook of Digital Criminology

Mareile Kaufmann, Heidi Mork Lomell (eds.)

Berlin; Boston: De Gruyter (2025), ix, 524 pp.

"The De Gruyter Handbook of Digital Criminology examines how digital devices spread and cut across all fields of crime and control. Providing a glossary of key theoretical, methodological and criminological concepts, the book defines and further establishes a vibrant, rapidly developing field. Focus ... more

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Antiqua et Nova: Note on the Relationship Between Artificial Intelligence and Human Intelligence

Dicastery for the Doctrine of the Faith, Dicastery for Culture and Education

Vatican City: Dicastery for the Doctrine of the Faith; Dicastery for Culture and Education (2025)

"[...] it is crucial to know how to evaluate individual applications of AI in particular contexts to determine whether its use promotes human dignity, the vocation of the human person, and the common good. As with many technologies, the effects of the various uses of AI may not always be predictabl ... more

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Die intelligente Täuschung: Über die Fähigkeiten Künstlicher Intelligenz

Frank Jäkel

Bielefeld: transcript Verlag (2025), 246 pp.

"Der Einzug von Künstlicher Intelligenz (KI) in unser Leben wird gleichermaßen von Heils- und Unheilserwartungen begleitet: Die einen erhoffen sich Produktivitätssteigerungen, die anderen befürchten, dass Europa den Wettlauf mit den USA und China längst verloren hat. Autohersteller setzen auf a ... more

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United Nations Activities on Artificial Intelligence (AI)

Geneva: ITU (2025), xvi, 500 pp.

"If 2023 was the year of generative artificial intelligence, 2024 was marked by the rapid expansion and adoption of AI, driving waves of innovation across nearly every conceivable domain. The United Nations system has kept an encouraging pace, redoubling efforts to harness the power and potential of ... 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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An Autonomy-Based Classification: AI Agents, Liability and Lessons from the Automated Vehicles Act

Lisa Soder, Julia Smakman, Connor Dunlop, Oliver Sussman

Berlin: Interface; Ada Lovelace Institute (2025), 28 pp.

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Human Development Report 2025: A Matter of Choice. People and Possibilities in the Age of AI
Deep Insights

Pedro Conceição et al.

New York: UNDP (2025), xi, 307 pp.

"This year’s Human Development Report examines what distinguishes this new era of AI from previous digital transformations and what those differences could mean for human development (chapter 1), including how AI can enhance or subvert human agency (chapter 2). People are already interacting with ... more

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Atlas de Inteligencia Artificial para el Desarrollo Humano de América Latina y el Caribe
Deep Insights

Gustavo Beliz et al.

Programa de las Naciones Unidas para el Desarrollo (PNUD) (2025), 466 pp.

"La Inteligencia Artificial (IA) está reconfigurando las economías, las sociedades y la gobernanza en todo el mundo. En América Latina y el Caribe, el Atlas de IA para el Desarrollo Humano ofrece una guía estratégica para navegar esta transformación. El Atlas mapea el impacto de la IA en cuatr ... 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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Just Hiring! How to counter discrimination in AI-assisted recruiting at the governance level. A toolkit for policymakers

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

FINDHR Fairness and Intersectional Non-Discrimination in Human Recommendation (2025), 67 pp.

"In this Toolkit, we offer introductory information and concrete recommendations on how to mitigate the risk of discrimination in algorithmic hiring systems on a governance level. This Toolkit addresses policymakers and people working in regulatory bodies, as well as civil society organisations inte ... more

Human Development and the Data Revolution Deep Insights

The Routledge Handbook of Artificial Intelligence and Philanthropy Deep Insights

Artificial Intelligence's Impact on Persons with Disabilites in Africa Deep Insights

Índice Latinoamericano de Inteligencia Artificial (ILIA) 2025 Deep Insights

Human Development Report 2025: A Matter of Choice. People and Possibilities in the Age of AI Deep Insights

Atlas de Inteligencia Artificial para el Desarrollo Humano de América Latina y el Caribe Deep Insights