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From Crisis to Renewal: Addressing AI’s Impact on Our Information Ecosystem

Lena-Maria Böswald, Roa Powell, Tyreese Calnan

Berlin: Interface – Tech Analysis and Policy Ideas for Europe (2026), 18 pp.

"As AI summaries summarise information directly within search results, they can significantly reduce traffic to news publishers. Evidence suggests users are less likely to click through to original sources when AIOs are present on Google, threatening the financial viability of journalism. These impa ... cts from AI summaries and AIOs in particular are unlikely to be evenly distributed and will play out in different ways across the news sector across Europe, with smaller and ad-funded outlets particularly vulnerable, raising concerns about declining media plurality. At the same time, AI-generated summaries often fail to provide accurate and diverse information. Research shows that AI tools disproportionately rely on a narrow set of sources, marginalising smaller publishers. In addition, persistent issues with accuracy – including misleading or incorrect outputs – risk distorting public understanding and weakening trust in information systems. Current regulatory frameworks in both the EU and UK are struggling to address these challenges effectively. While multiple legal instruments are relevant and already in place – including competition law, platform regulation, copyright, and AI governance – none are fully equipped to respond quickly and comprehensively to the harms of monopolisation and the lack of remuneration for media outlets posed by AI summaries. We argue that competition policy offers the most effective and immediate route to intervention, with digital regulation serving as a secondary lever. The UK’s approach, based on flexible, case-specific competition rules, enables faster action through tailored conduct requirements for dominant firms like Google. In contrast, the EU’s framework is broader but slower, relying more heavily on traditional, time-intensive antitrust investigations and ongoing debates around copyright and remuneration for publishers. Both systems offer complementary strengths, and policymakers should learn from each other’s approaches. We therefore recommend a “competition-first” policy package to ensure fairer outcomes. Key measures include enforcing fair ranking and attribution practices, preventing unauthorised use of publisher content, and potentially requiring platforms to compensate news organisations. However, competition policy alone is not the key. We therefore propose additional long-term interventions, including greater transparency through “nutrition labels” for AI-generated content and increased public or democratic funding for journalism. These measures aim to strengthen the resilience and independence of the news sector, ensuring that trustworthy information remains accessible in an information ecosystem shaped by AI. more

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Relational Futures: Indigenous Sovereignty and the Governance of Artificial Intelligence (AI)

Bronwyn Carlson, Tamika Worrell

Macquarie University (2026), 30 pp.

"Artificial intelligence must be governed as a relational and institutional force, not simply a technical system. Effective policy requires Indigenous leadership, enforceable standards, and a commitment to sovereignty, accountability, and community wellbeing. Failure to act risks embedding inequalit ... more

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The Protocol Gap: Brazil

Sérgio Spagnuolo, Ester Borges, Bruno Fiaschetti, Paula Miraglia

Journalism Relay Project; Momentum; International Fund for Public Interest Media (IFPIM) (2026), 12 pp.

"An overwhelming majority of news websites in Brazil have either no AI-scraping policy at all or a very permissive approach. As of November 2025, only 7.2% of Brazilian news websites disallow at least one AI crawler through the use of a robots.txt file, even though most news sites (75%) have a robot ... more

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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-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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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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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-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.

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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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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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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

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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.

Developing an Artificial Intelligence Maturity Assessment Framework for South Africa. First Annual AI Maturity Assessment 2025

Bonn; Eschborn: Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ); FAIR Forward – Artificial Intelligence for All; University of the Western Cape (UWC) (2025), 107 pp.

"The South African AI MAF serves as a foundational tool for guiding the country’s progress towards AI maturity and is tailored to the country’s unique socioeconomic, cultural, and technological realities. It furthermore aligns with broader continental ambitions (i.e. African Union’s 2024 Conti ... nental AI Strategy), which reflects a strong commitment to leveraging AI for sustainable development. This implies the ethical and inclusive development and implementation of AI in ways that address local challenges. In South Africa, GIZ, through the FAIR Forward project, has collaborated closely with the Council for Scientific and Industrial Research (CSIR), the South African Institute of Chartered Accountants (SAICA) and researchers from the University of the Western Cape (UWC) to develop the AI Maturity Assessment Framework (AI MAF) for South Africa. A design-science methodology was applied to develop the AI MAF for South Africa. The approach involved a structured literature review process, co-design workshops with cross-sectoral stakeholders, expert interviews, validation workshops and external expert review. This first version of the AI MAF consists of eight domains: Domain 1: International and Continental Profile as AI Leader Domain 2: An Enabling Regulatory Environment Domain 3: Citizen Engagement With and Empowerment Through AI Domain 4: Education and Workforce Enablement Domain 5: Innovation and Research Domain 6: Growth of the AI Ecosystem Domain 7: Data and Digital Infrastructure Domain 8: Security and Privacy Each domain includes sub-domains with specific indicators. A total of 68 indicators are included in this 2025 instrument, aimed at reflecting the country’s unique socioeconomic, cultural, and technological realities. An assessment instrument (rubric) to measure the level of maturity of these eight domains was adapted from the maturity measurement scale set out in ISO 37004 (Governance Maturity Model – Guidance). It reflects the structured progression of the ISO standards, employing a maturity scale that ranges from Level 0 (No evidence) to Level 5 (Continual optimisation or improvement). It is grounded in the principle of evidence-based assessment, evaluating maturity through the lens of activities and inputs (Levels 1–2) that lead to measurable outcomes and impact (Levels 3–5). The application of this instrument in the first iteration of assessing AI maturity in South Africa indicated that the country is in the early stages of AI maturity, with seven of the eight domains assessed at Levels 1–2 on the maturity scale, and only one domain reaching Level 3. This suggests that all domains demonstrate some level of foundational ‘input activities’, signalling a positive intent and growing awareness of the importance and relevance of AI, with some initial movement towards demonstrating positive outcomes. Overall, the generally low maturity scores indicate that progress across the domains is fragmented. This could be attributed to still limited strategic ecosystem coordination, targeted investment and capability building. The evidence-based approach enables a reflection of the South African landscape and supports strategic alignment across government, industry, and academia. The framework and interactive dashboard – developed through this project to enable accessible visualisation of the data – serve as foundational reference points for supporting South Africa’s evolving AI ecosystem. An AI agent developed as part of the initiative facilitates regular updates, helping ensure that the AI MAF remains a relevant strategic tool." (Executive summary, pages 8-10) more

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Companion Document: The Guidelines for the Governance of Digital Platforms and Generative Artificial Intelligence

Paris: UNESCO (2025), 34 pp.

"The Guidelines for the Governance of Digital Platforms outline a set of responsibilities, duties, and recommendations relevant to the governance of generative AI. These include fostering an enabling environment for freedom of expression and access to information; establishing independent governance ... more

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2024-25 Annual Report: Dynamic Coalition on the Sustainability of Journalism and News Media

Waqas Naeem, Daniel O’Maley, Courtney C. Radsch, Aws Al-Saadi, Lei Ma, Nompilo Simanje

Internet Governance Forum; Dynamic Coalition for the Sustainability of Journalism and News Media; Global Forum for Media Development (GFMD) (2025), 50 pp.

"[...] Just as AI technologies are disrupting the business model of the Internet, they will also have a significant impact on the financial sustainability of the news media. The ability of AI tools to generate and aggregate content and produce news-style summaries might altogether bypass the news me ... 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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Practical Machine Learning: A Beginner's Guide with Ethical Insights

Ally S. Nyamawe, Mohamedi M. Mjahidi, Noe Elisa Nnko, Salim A. Diwani, Godbless G. Minja, Kulwa Malyango

Boca Raton: CRC Press; Chapman & Hall (2025), xii, 214 pp.

"The book provides an accessible, comprehensive introduction for beginners to machine learning, equipping them with the fundamental skills and techniques essential for this field. It enables beginners to construct practical, real-world solutions powered by machine learning across diverse application ... more

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AI With Purpose: How Foundations and Nonprofits are Thinking About and Using Artificial Intelligence

Elisha Smith Arrillaga, Seara Grundhoefer, Christina Im

Center for Effective Philanthropy (CEP) (2025), 39 pp.

"While AI is widely used by nonprofits and foundations alike — most often for internal productivity and communications purposes — leaders share common concerns about AI in their work. They also agree that foundations do not currently have a strong grasp of nonprofits’ AI-related needs. Perhaps ... 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

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

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