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L'uomo è un algoritmo? Il senso dell'umano e l'intelligenza artificiale

Paolo Benanti

Castelvecchi (2025), 60 pp.

"Il mito di Ulisse ci insegna che la ricerca umana di senso è guidata dall’intelligenza, nelle sue due declinazioni: νοῦς e μῆτις, intuizione e pratica. Dalla sinergia di queste facoltà sono nate le grandi invenzioni che segnano la nostra specie, a partire dalla «grande invenzione de ... 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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Thinking with AI: Machine Learning the Humanities

Hannes Bajohr (ed.)

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

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2025 Technology and Innovation Report: Inclusive Artificial Intelligence for Development

New York: United Nations Conference on Trade and Development (UNCTAD) (2025), xiii, 168 pp.

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The Influence Evolution: Harnessing AI Innovation While Preserving Human Connection in Social Media

Katja Muñoz, Maria Pericàs Riera

German Council on Foreign Relations (DGAP) (2025), 10 pp.

"Social media stands at a pivotal juncture where technology and humanity converge. From productivity tools to fully autonomous AI agents, we are witnessing a fundamental shift in how content is created, distributed, and consumed. This evolution presents dual futures: one in which AI influencers and ... 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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AI-Generated Disinformation in Europe and Africa: Use Cases, Solutions and Transnational Learning

Karen Allen, Christopher Nehring

Johannesburg: Konrad-Adenauer-Stiftung (KAS), Media Programme Sub-Sahara Africa (2025), xii, 158 pp.

Google Scholar (301)

WorldCat (300)

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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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

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AI and Data Science Bootcamp for Women and Minoritised Groups: Impact Report

Luisa Olaya, Deshni Govender, Abeera Dubey, Jocelyn Mukamisha, Mary Seiwah

Bonn; Eschborn: Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ); FAIR Forward; Intel (2025), vii, 35 pp.

"The AI and Data Science Bootcamp for Women and Minoritised Groups was designed to actively address the diversity gap in the AI field by lowering the entry barriers that women and minoritised groups face and empowering them with advanced technical and personal development skills to succeed in the AI ... 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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How Do You Explain ChatGPT to a Community Health Worker?

Wayan Vota

ICTworks, December 2 (2025)

"I’ve been diving deep into groundbreaking research on community health worker (CHW) perceptions of AI applications in rural India. The truth is more complex than the rosy predictions flooding our sector about artificial intelligence transforming global health. The findings expose a troubling gap ... 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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Gender Equitable AI Toolkit

NetHope (2024), 41 pp.

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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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Inteligência Artificial & Igreja: Reflexões a Partir da Mensagem do Papa Francisco para o 58° Dia Mundial das Comunicações Sociais 2024

Aline Amaro da Silva, Claudenir Modolo, Joana T. Puntel, Marcus Tullius, Magali Cunha, Moisés Sbardelotto, Ricardo Alvarenga

Conferência Nacional dos Bispos do Brasil (CNBB); CNBB Grupo de Reflexão sobre Comunicação (Grecom); Pascom Brasil (2024), 76 pp.

"[...] a reflexão proposta pelo Papa Francisco para o Dia Mundial das Comunicações Sociais de 2024 é crucial para a ação evangelizadora da Igreja.[2] A partir do tema “Inteligência artificial e sabedoria do coração: para uma comunicação plenamente humana”, somos convidados a refletir ... sobre os impactos da inteligência artificial em nossa comunicação pessoal, social e eclesial, buscando sempre uma comunicação integralmente humana e humanizadora. A mensagem de Francisco nos leva a compreender que, em meio às inovações tecnológicas, nossa reflexão e ação devem partir do coração humano. A sabedoria do coração, entendida como a virtude que nos permite combinar o todo com as partes, as grandezas com as fragilidades, é essencial para interpretar a novidade do nosso tempo e encontrar o caminho para uma comunicação verdadeiramente humana. Diante das novas possibilidades e desafios trazidos pela IA, é fundamental questionarmos de que forma ela afetará a sociedade, a comunicação e também as igrejas. Será que a IA construirá novas castas baseadas na dominação informacional, gerando desigualdades e exploração? Ou, ao contrário, promoverá mais igualdade, informações corretas e maior consciência da transição de época que estamos atravessando? Para Francisco, “a resposta não está escrita; depende de nós”. Compete a nós, comunicadoras e comunicadores da mensagem de Jesus, decidir se permitiremos que a IA nos reduza a meros “funcionários algorítmicos” ou se nutriremos nossos corações com a liberdade que vem do Espírito, imprescindível para o crescimento na sabedoria. Para isso, devemos buscar “a Sabedoria que existe antes de todas as coisas”, como afirma o Papa. Este subsídio, produzido pelo Grupo de Reflexão sobre Comunicação (Grecom) da Conferência Nacional dos Bispos do Brasil (CNBB), tem como objetivo oferecer uma reflexão sobre a mensagem do Papa Francisco deste ano e suas implicações para a comunicação católica no Brasil. Como parte essencial da Comissão Episcopal para a Comunicação Social, o Grecom tem a missão de refletir, estudar e pesquisar a comunicação, oferecendo subsídios que contribuam para uma comunicação mais humana, ética e responsável, a serviço da evangelização e da sociedade. Este subsídio está subdividido em seis seções, baseadas nas principais ideias apresentadas por Francisco em sua mensagem e também desdobrando-as a partir das contribuições do campo da Comunicação. Primeiramente, apresentamos uma definição geral do conceito de IA. Em seguida, repassamos oportunidades e perigos trazidos à tona por essa inovação. Frente a isso, destacamos alguns imperativos éticos que o desenvolvimento da IA suscita no agir humano. Depois, refletimos sobre a IA à luz do magistério da Igreja, particularmente do Papa Francisco. Com base nisso, indicamos alguns desafios e também possibilidades pastorais na relação da Igreja com os sistemas de IA. Por fim, levantamos algumas interrogações ainda em aberto na atualidade, que solicitam uma reflexão-ação constante rumo ao futuro que já estamos construindo hoje." (Introduçao, páginas 5-7) 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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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