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Digital Humanism: For a Humane Transformation of Democracy, Economy and Culture in the Digital Age

Julian Nida-Rümelin, Nathalie Weidenfeld

Cham: Springer (2022), ix, 127 pp.

"This open access book deals with cultural and philosophical aspects of artificial intelligence (AI) and pleads for a “digital humanism”. This term is beginning to be en vogue everywhere. Due to a growing discontentment with the way digitalization is being used in the world, particularly formula ... more

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AI Ethics and Higher Education: Good Practice and Guidance for Educators, Learners, and Institutions

Erin Green, Divya Singh, Roland Chia (eds.)

Geneva: Globethics.net (2022), 318 pp.

"Artificial intelligence (AI) is exerting unprecedented pressure on the global higher educational landscape in transforming recruitment processes, subverting traditional pedagogy, and creating new research and institutional opportunities. These technologies require contextual and global ethical anal ... more

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Republic of Ghana National Artificial Intelligence Strategy: 2023 - 2033

Ministry of Communications and Digitalization (2022), 123 pp.

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Recommendation on the Ethics of Artificial Intelligence

Paris: UNESCO (2022), 43 pp.

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FAIR Forward: Artificial Intelligence for All

Berlin: Federal Ministry for Economic Cooperation and Development (BMZ) (2022), 2 pp.

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Landscape Study of AI Policies and Use in Southern Africa: Research Report

Harare: UNESCO Office in Harare (2022), 89 pp.

"This report is intended to provide a broad review of the use and emerging governance of AI technology in Southern Africa. It aims at initiating public discussions and policy dialogue not only on the technological implications of the use of AI, but also on the social, political, and ethical signific ... more

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A Systematic Literature Review on Fake News in the COVID-19 Pandemic: Can AI Propose a Solution?

Tanvir Ahmad, Eyner Arturo Aliaga Lazarte, Seyedali Mirjalili

Applied Sciences (MDPI), volume 12, issue 12727 (2022), 19 pp.

"This paper aims to unpack a structured overview of previous research topics and findings and identify gaps. Our goal in this systematic review is to (a) synthesize the selected earlier studies, (b) offer researchers a structural framework for future COVID-19 and fake news research, and (c) recommen ... more

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Inteligencia artificial y política: Los desafíos de una tecnología acelerada en las instituciones contemporáneas

Carlos Lazzarini

Buenos Aires: Teseo (2022), 111 pp.

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A systematic literature review and existing challenges toward fake news detection models

Minal Nirav Shah, Amit Ganatra

Social Network Analysis and Mining, volume 12, issue 168 (2022), 21 pp.

"This paper aims to conduct a review on fake news detection models that is contributed by a variety of machine learning and deep learning algorithms. The fundamental and well-performing approaches that existed in the past years are reviewed and categorized and described in different datasets. Furthe ... more

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Understanding the impact of artificial intelligence on skills development

Kelly Shiohira

Paris; Bonn: UNESCO; UNEVOC (2021), 55 pp.

"This paper synthesizes research on current trends, programmes, policies and uses of AI related to technical and vocational education and training across six continents, covering developing and developed contexts, as a resource for stakeholders invested in the future of intermediate-level workers an ... more

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Emerging technology trends: Artificial intelligence and big data for development 4.0

Mirjana Stankovic, Aminata Amadou Garba, Nikola Neftenov

Geneva: ITU (2021), xv, 87 pp.

"Intended as a guide for policy-makers and other stakeholders in crafting a national AI and data strategy for development, the report highlights opportunities and outlines good policy and regulatory practices for implementation, while also flagging key challenges and offering hands-on suggestions in ... more

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Engendering AI: A Gender and Ethics Perspective on Artificial Intelligence in Africa

Favour Borokini, Sandra Nabulega, Garnett Achieng

Pollicy (2021), 22 pp.

"Although AI solutions have the potential to drive growth and development across major sectors such as finance, agriculture, and healthcare, the AI industry is currently still based in North America, Europe, and Asia, with Africa, unfortunately, still underrepresented (Jungblut, 2020). This is a thr ... more

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Der Wert der Digitalisierung: Gemeinwohl in der digitalen Welt

Chris Piallat (ed.)

Bielefeld: transcript (2021), 437 pp.

"Wie wahren wir die Menschen-, Grund- und Bürgerrechte? Und wie können wir unsere Werte für die Gestaltung disruptiver Innovationen und der digitalen Zukunft nutzen? Die Autor*innen aus Politik, Wissenschaft und Praxis zeigen auf, wie technologische Phänomene mit unseren Werten in Einklang gebra ... more

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Digital Roots: Historicizing Media and Communication Concepts of the Digital Age

Gabriele Balbi, Nelson Ribeiro, Valérie Schafer, Christian Schwarzenegger (eds.)

Berlin; Boston: De Gruyter Oldenbourg (2021), vi, 318 pp.

"As media environments and communication practices evolve over time, so do theoretical concepts. This book analyzes some of the most well-known and fiercely discussed concepts of the digital age from a historical perspective, showing how many of them have pre-digital roots and how they have changed ... more

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The Next Wave of Disruption: Emerging Market Media Use of Artificial Intelligence and Machine Learning. An Overview of New Technology Implementation in Emerging Market Media

Robert Shaw, Emiliana Garcia, Heghine Gyulnazaryan, Juan Melano, Jakub Parusinski, Alex Sabadan

Copenhagen: International Media Support (IMS) (2021), 63 pp.

"Just as in the global context, new tools are being used by the media in Latin America and Central and Eastern Europe (CEE). The use of artificial intelligence and machine learning (ALI/ML) is not limited to large, corporate media. But the reality of different news organisations with a variety of bu ... more

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Digitalisierung aus theologischer und ethischer Perspektive: Konzeptionen - Anfragen - Impulse

Gotlind Ulshöfer, Peter G. Kirchschläger, Markus Huppenbauer (eds.)

Baden-Baden; Zürich: Nomos; Pano Verlag (2021), 310 pp.

"Es geht in diesem Band um die Fokussierung, Ethik und Religion als Teil von gesellschaftlichen Phänomenen zu verstehen, die insbesondere hinsichtlich Wirtschaft und Politik zu untersuchen sind. Da sich Gesellschaft heutzutage jedoch nicht mehr ohne Digitalisierung analysieren lässt, tritt für di ... more

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Archives, Access and Artificial Intelligence: Working with Born-Digital and Digitised Archival Collections

Lise Jaillant (ed.)

Bielefeld: Bielefeld University Press; transcript (2021), 330 pp.

"Cultural heritage organizations face at least three main challenges. First, the volume of digital archives makes it extremely difficult for archivists to assess records. Applying Artificial Intelligence (AI) and machine learning (ML) to archives is still at an experimental stage, but AI/ ML could b ... more

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Explicability of Humanitarian AI: A Matter of Principles

Giulio Coppi, Moreno Jimenez Rebeca, Sofia Kyriazi

Journal of International Humanitarian Action, volume 6, issue 19 (2021), 22 pp.

"In the debate on how to improve efficiencies in the humanitarian sector and better meet people’s needs, the argument for the use of artificial intelligence (AI) and automated decision-making (ADMs) systems has gained significant traction and ignited controversy for its ethical and human rights-re ... lated implications. Setting aside the implications of introducing unmanned and automated systems in warfare, we focus instead on the impact of the adoption of AI-based ADMs in humanitarian response. In order to maintain the status and protection conferred by the humanitarian mandate, aid organizations are called to abide by a broad set of rules condensed in the humanitarian principles and notably the principles of humanity, neutrality, impartiality, and independence. But how do these principles operate when decision-making is automated? This article opens with an overview of AI and ADMs in the humanitarian sector, with special attention to the concept of algorithmic opacity. It then explores the transformative potential of these systems on the complex power dynamics between humanitarians, principled assistance, and affected communities during acute crises. Our research confirms that the existing flaws in accountability and epistemic processes can be also found in the mathematical and statistical formulas and in the algorithms used for automation, artificial intelligence, predictive analytics, and other efficiency-gaining-related processes. In doing so, our analysis highlights the potential harm to people resulting from algorithmic opacity, either through removal or obfuscation of the causal connection between triggering events and humanitarian services through the so-called black box effect (algorithms are often described as black boxes, as their complexity and technical opacity hide and obfuscate their inner workings (Diakopoulos, Tow Center for Digital Journ, 2017). Recognizing the need for a humanitarian ethics dimension in the analysis of automation, AI, and ADMs used in humanitarian action, we endorse the concept of “explicability” as developed within the ethical framework of machine learning and humancomputer interaction, together with a set of proxy metrics. Finally, we stress the need for developing auditable standards, as well as transparent guidelines and frameworks to rein in the risks of what has been defined as humanitarian experimentation (Sandvik, Jacobsen, and McDonald, Int. Rev. Red Cross 99(904), 319–344, 2017). This article concludes that accountability mechanisms for AI-based systems and ADMs used to respond to the needs of populations in situation of vulnerability should be an essential feature by default, in order to preserve the respect of the do no harm principle even in the digital dimension of aid. In conclusion, while we confirm existing concerns related to the adoption of AI-based systems and ADMs in humanitarian action, we also advocate for a roadmap towards humanitarian AI for the sector and introduce a tentative ethics framework as basis for future research." (Abstract) more

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Handbook on Data Protection and Privacy for Developers of Artificial Intelligence (AI) in India: Practical Guidelines for Responsible Development of AI

Divya Joy (ed.)

New Delhi: Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) (2021), 103 pp.

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Artificial Intelligence for Africa

Stefano Sedola, Andrea Junior Pescino, Tira Greene

Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) (2021), 67 pp.