commbox Artificial Intelligence & Algorithms

Artificial Intelligence & Algorithms

Filter

357

Sort by:

Direction:

Download (40)

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

External Link (254)

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

Google Scholar (202)

WorldCat (210)

Intelligence artificielle et emploi en Afrique: Analyse des impacts de la digitalisation du travail

Ibrahim Kalil Konaté, Michel Boukar

Robert Beugré Mambé (preface)

Paris: L'Harmattan (2025), 267 pp.

"Ce livre étudie les effets de l’intelligence artificielle (IA) et de la digitalisation sur l’emploi en Afrique, en usant d’une méthodologie à deux articulations. D’une part, l’analyse des effets directs de l’IA : destruction d’emplois traditionnels dans des secteurs-clés (agricult ... more

Download (43)

Pathways to Inclusion: Advancing Civil Society’s Role in AI Governance: Evidence from and for the Global Majority

Paola Gálvez Callirgos

Geneva: Globethics Publications (2025), 58 pp.

"This policy brief investigates the role of civil society on AI Governance with particular attention to the Global Majority. The research question explores whether civil society serves as an effective counterbalance to concentrated power in the AI ecosystem to ensure AI systems reflect diverse publi ... more

Google Scholar (97)

WorldCat (93)

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

Download (75)

Künstliche Intelligenz in politischen Kampagnen: Akzeptanz, Wahrnehmung und Wirkung

Simon Kruschinski, Pablo Jost, Hannah Fecher, Tobias Scherer

Frankfurt am Main: Otto Brenner Stiftung (2025), 108 pp.

"Im ersten Teil geben wir einen Überblick über den Einsatz von generativer KI in der politischen Kampagnenkommunikation. Insbesondere die generativen KI-Tools ChatGPT und Midjourney werden zunehmend in politischen Kampagnen eingesetzt, um menschenähnliche Texte beziehungsweise fotorealistische Bi ... more

External Link (111)

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

Download (57)

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

Download (106)

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

Download (39)

Me, myself and AI: Understanding and safeguarding children’s use of AI chatbots

London: Internet Matters (2025), 56 pp.

"This report explores how children are interacting with AI chatbots, which are computer programmes designed to simulate conversation with a person. Our findings show that while these tools can offer clear benefits, such as 24/7 learning support and a non-judgemental space to ask questions, they pose ... more

Download (62)

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

External Link (212)

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

External Link (141)

Artificial Intelligence and Religion: Investigating perceptions: ethics, practices, and the role of religious actors in Senegal

Rachid Id Yassine

Global Center on AI Governance (GCG); African Observatory on Responsible AI (2025), 52 pp.

"The initial objective of this investigation was to analyze the ethical issues raised by artificial intelligence according to religious actors in Senegal. In a country where 95% of the population are Muslim, the voice of religious authorities, even beyond the religious sphere, is eagerly awaited and ... more

Download (59)

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

Google Scholar (201)

WorldCat (193)

Der neue Gott: Künstliche Intelligenz und die menschliche Sinnsuche

Claudia Paganini

Freiburg et al.: Herder (2025), 176 pp.

"Ist Künstliche Intelligenz der neue Gott des digitalen Zeitalters? In diesem tiefgründigen Essay entfaltet Claudia Paganini eine philosophisch brisante These: Erstmals erschafft der Mensch einen Gott, statt ihn nur zu denken. Die KI übernimmt zunehmend, was einst der Religion vorbehalten war: Si ... more

Download (63)

AI Literacy & Communication

Center for News, Technology & Innovation (CNTI), AI and Journalism Working Group (2025), 25 pp.

"This briefing focuses broadly on journalistic communication about AI. We first summarize research and frameworks that address the following questions about societal AI literacy: What does the public currently know about AI, and what does the public need to know about AI? We then move on to a synthe ... more

Download (35)

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

Google Scholar (209)

WorldCat (218)

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

Download (71)

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

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

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

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

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