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The Impact of Generative AI on Critical Thinking: Self-Reported Reductions in Cognitive Effort and Confidence Effects From a Survey of KnowledgeWorkers

Hao-Ping (Hank) Lee, Advait Sarkar, Lev Tankelevitch, Ian Drosos, Sean Rintel, Richard Banks, Nicolas Wilson

Proceedings of the ACM CHI Conference on Human Factors in Computing Systems (CHI25) (2025), 23 pp.

"The rise of Generative AI (GenAI) in knowledge workflows raises questions about its impact on critical thinking skills and practices. We survey 319 knowledge workers to investigate 1) when and how they perceive the enaction of critical thinking when using GenAI, and 2) when and why GenAI affects th ... more

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ChatGPT and journalistic practices: Unpacking the Nigerian newsroom experiences

Chukwudubem Chukwugozie Umeora

International Journal of Advanced Mass Communication and Journalism, volume 6, issue 1 (2025), pp. 93–99

“The research analyzes how ChatGPT transforms traditional news production methods in Nigerian newsrooms by studying its integration into journalistic work. The research analyzes the changes in journalistic routines together with professional consequences through qualitative interviews of thirteen ... more

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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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AI, journalism, and critical AI literacy: exploring journalists’ perspectives on AI and responsible reporting

Tomasz Hollanek, Dorian Peters, Eleanor Drage, Raphael Hernandes

AI & SOCIETY, volume 40 (2025), pp. 6393–6405

"This study explores the perspectives of media professionals on the concerns, needs, and responsibilities related to fostering AI literacy among journalists. We report on findings from two workshops with journalists (based in the USA, the UK, China, and India), as well as representatives of civil so ... more

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Key Questions for AI in Public Institutions: Prompts and Resources to Spark Critical Conversation
Key Guides

Tanja Dreher, Georgia van Toorn

Sydney: University of New South Wales (UNSW), UARC Centre of Excellence for Automated Decision-Making and Society. (2025), 30 pp.

""In this think piece we sketch the impacts and implications of corporate AI for institutions with a public interest orientation. We focus on public universities and social services as vital public institutions that have been widely understood as essential to democracy and social justice. Through a ... 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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Media Self-Regulation in the Use of AI: Delimitation of Multimodal Generative Content and Ethical Commitments to Transparency and Verification

Pilar Sánchez-García, Alba Diez-Gracia, Ignacio Repilado Mayorga, Pedro. Jerónimo

Journalism and Media, volume 6, issue 1 (2025), pp. 1–19

"The expansion of the use of artificial intelligence (AI) across different stages of production and distribution in journalism is opening a debate on its applications within newsrooms and in business models. This research studies how different media outlets, media groups and institutions are beginni ... 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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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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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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Democratising AI through Culture: Making Generative AI Participatory and Intersectional Through an AI of the Commons

Seoyoung Choi, Miro Leon Bucher

Stuttgart: Institut für Auslandsbeziehungen (ifa) (2025), 72 pp.

"This research proposes a participatory, decolonial and feminist approach to AI through the concept of “AI as commons”, offering a practical approach for cultural practitioners to decolonise existing AI systems. Conducted in Seoul, South Korea, the study combines critical theory with practical i ... 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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Antiqua et Nova: An Exposition of its Philosophical Intervention on Artificial Intelligence and its Relevance to Catholic Education

Rhoderick John S. Abellanosa

Kaabigan, volume 3, issue 1 (2025), pp. 16-34

"The essay is an exposition of Antiqua et Nova (AeN), a Church document that provides philosophical, theological, and pastoral reflections and guidelines on the understanding and use of artificial intelligence (AI). It is this work’s position that AeN’s significant contribution is its emphasis o ... more

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LAO P.D.R. Artificial Intelligence Readiness Assessment Report

Paris: UNESCO (2025), 72 pp.

"• In the legal context, Lao PDR’s regulatory framework for AI is still nascent. While the government is drafting a National AI Strategy, there are currently no laws addressing core AI issues such as transparency, accountability, or algorithmic redress. Existing frameworks like the Cybercrime La ... w, Data Protection Law and the Digital Government Decree cover general data and computing use but lack AI-specific provisions. AI is referenced in recent constitutional amendments and draft digital transformation policies, but there’s room for improvement in transforming those acknowledgements to clear legal mechanisms to protect citizens and bolster innovation. • For the sociocultural domain, despite progress in gender inclusivity, rural communities in Laos still face limited access to digital technologies due to infrastructure gaps, affordability, and low digital literacy. Successful collaborations with international organizations highlight what’s possible but also stress the need for ongoing investment in local capacity, outreach, and trust-building. Digital initiatives in health and efforts addressing concerns about technology’s environmental impact are evident, but they have not been specifically focused on AI. Digital transformation must also prioritize cultural preservation, including the development of culturally-aware datasets and NLP tools. Currently, most Lao language datasets and NLP tools are lagging participation from native Lao researchers, risking linguistic sovereignty and underrepresenting local dialects, norms, and values. • AI talent and innovation development in Laos needs strong support from its education and research ecosystems. University departments like Computer Science and Software Engineering are small and often siloed, with little crossdisciplinary collaboration. Research output needs some improvement. Promising developments in AI/ICT curricula in K-12 level are welcome, although their effectiveness must be closely monitored. • Laos’s digital economy remains small, constrained by a large informal sector, limited digital infrastructure, and low ICT investment, factors that hinder AI adoption and innovation. While some private companies in sectors such as telecom, banking, logistics, and manufacturing are beginning to use AI tools, and urban populations are gradually adopting app-based lifestyles, broader progress is limited by lagging human capital pipelines, minimal domestic investment, and an underdeveloped startup ecosystem. Foreign-developed platforms still continue to dominate the market, which if continued can limit local developers from developing capabilities and use cases. Aside from that, most Foreign Development Investment (FDI) remains concentrated in resource extraction, and budget shortfalls undermine the sustainability of e-government initiatives. • There is a critical need for a strong commitment to funding both the hard and soft infrastructure that supports AI. This includes enhancing cybersecurity capacity, reliable networks, and data centers and ensuring affordable access to computing infrastructure for AI practitioners and stakeholders." (Executive summary) more

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AI Tools Radar
Key Guides

UNESCO; International Research Centre on Artificial Intelligence (IRCAI) (2025)

"AI tools Radar is designed to map and showcase innovative and impactful AI tools from around the world, with a particular focus on applications in the public sector, media, and judiciary. This platform is a global initiative born out of a collaboration between UNESCO and the International Research ... more

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Hamburg Declaration on Responsible Artificial Intelligence (AI) for the Sustainable Development Goals (SDGs)
Key Guides

Hamburg: Hamburg Sustainability Conference; UNDP (2025), 7 pp.

"As global stakeholders from governments, international organizations, the private sector, academia, and civil society, we convene in Hamburg to shape a human-centric, human-rights-based, inclusive, open, sustainable, and responsible AI future. We commit to advancing AI for the SDGs, aligning with o ... more

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Deciphering authenticity in the age of AI: how AI-generated disinformation images and AI detection tools influence judgements of authenticity
Deep Insights

Key Guides

Aqsa Farooq, Claes de Vreese

AI & SOCIETY, volume 41 (2025), pp. 493–504

"An ongoing surge of Artificial Intelligence (AI)-enabled false content has been spreading its way through the information ecosystem, including AI-generated images, which have been used as part of political disinformation campaigns. Thus, there remains a pressing need to understand which factors ind ... more

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Bias in der künstlichen Intelligenz

Jonas Ditz, Elmar Lichtmeß

Bonn: Bundesamt für Sicherheit in der Informationstechnik (2025), 34 pp.

"Bias ist eine tiefgreifende Problematik für Systeme der Künstlichen Intelligenz, die eine Gefährdung für den sicheren Einsatz von solchen Systemen darstellen kann. Der richtige Umgang mit Bias ist komplex und erfordert eine umfassende Beschäftigung mit der Thematik. Diese Publikation soll Entw ... ickelnden, Anbietenden und Betreibenden von KI-Systemen eine erste Einführung in die Bias-Thematik geben. Bias-Arten weisen eine hohe Diversität auf und können in unterschiedlichen Phasen des Lebenszyklus eines KI-Systems auftreten. Eine Auswahl der relevantesten Bias-Arten sowie eine Zuordnung zur Phase des Lebenszyklus, in der diese auftreten, wird dargestellt. Die Detektion von Bias ist sowohl in Daten als auch in bereits trainierten KI-Modellen möglich. Eine Auswahl an qualitativen und quantitativen Detektionsmöglichkeiten wird präsentiert. Anschließend gibt das Manuskript eine Übersicht über Methoden, die verwendet werden können, um Bias in einem KI-System zu verhindern. Diese sind aufgeteilt in Prä-, In- und Postprozessierungsmethoden, abhängig von dem jeweiligen Zeitpunkt, zu dem sie angewendet werden können. Zum Abschluss wird die Interaktion zwischen Bias und Cybersicherheit diskutiert. Das BSI fordert von Entwickelnden, Anbietenden und Betreibenden von KI-Systemen folgende Handlungen: • Wissen hilft bei der Lösung des Problems. Es muss ein ausreichender Informationsaufbau zur Bias-Thematik stattfinden, um entscheiden zu können, welche Arten für die eigene Anwendung relevant sind. (Kapitel 2) • Zuständigkeiten müssen geklärt sein. Für verwendete Datensätze und KI-Systeme muss eine für Bias zuständige Person benannt werden. Diese Person muss in der Lage sein, potentielle Bias zu identifizieren und geeignete Gegenmaßnahmen vorzuschlagen. • Bekämpfung von Bias beginnt bei den Daten. Nach Möglichkeit müssen organisatorische und technische Maßnahmen bei der Datenerhebung etabliert werden, die potentiellen Bias in den Daten reduzieren. (Kapitel 3) • Ziel muss die Minimierung von unerwünschten Bias in KI-Modellen sein. Prä- und Inprozessierungsmaßnahmen müssen – falls anwendbar – vorrangig verwendet werden. Vor der Anwendung von vortrainierten KI-Modellen (beispielsweise KI-Systeme mit allgemeinem Verwendungszweck) muss die Notwendigkeit für Postprozessierungsmaßnahmen geprüft werden (Kapitel 4) • Bei Bias heißt es am Ball bleiben. Bias-Detektion und -Mitigation muss als Prozess verstanden werden und fester Bestandteil jeder Phase des Produktzyklus eines KI-Modells sein." (Zusammenfassung, Seite 3) 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

Key Questions for AI in Public Institutions: Prompts and Resources to Spark Critical Conversation Key Guides

Artificial Intelligence Index Report 2025 Deep Insights

AI Tools Radar Key Guides

Hamburg Declaration on Responsible Artificial Intelligence (AI) for the Sustainable Development Goals (SDGs) Key Guides

Deciphering authenticity in the age of AI: how AI-generated disinformation images and AI detection tools influence judgements of authenticity Deep Insights Key Guides

Key Questions for AI in Public Institutions: Prompts and Resources to Spark Critical Conversation
Key Guides

Artificial Intelligence Index Report 2025
Deep Insights

AI Tools Radar
Key Guides

Hamburg Declaration on Responsible Artificial Intelligence (AI) for the Sustainable Development Goals (SDGs)
Key Guides

Deciphering authenticity in the age of AI: how AI-generated disinformation images and AI detection tools influence judgements of authenticity
Deep Insights

Key Guides