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The emergence of artificial intelligence ethics auditing
Big Data & Society, issue October–December (2024), 16 pp.
"The emerging ecosystem of artificial intelligence (AI) ethics and governance auditing has grown rapidly in recent years in anticipation of impending regulatory efforts that encourage both internal and external auditing. Yet, there is limited understanding of this evolving landscape. We conduct an i
...
Taking AI Ethics from Principles to Practice: A Guide to Implementing Responsible AI
African Observatory on Responsible AI (2024), 24 pp.
"While numerous ethical frameworks for AI exist, translating them into actionable policies for responsible development in Africa remains a challenge for several reasons which would be discussed in subsequent sections. More importantly, it is expedient to build frameworks that are reflective of the s
...
Introduction to AI Safety, Ethics, and Society
Boca Raton; London: CRC Press (2024), xvi, 543 pp.
"As AI technology is rapidly progressing in capability and being adopted more widely across society, it is more important than ever to understand the potential risks AI may pose and how AI can be developed and deployed safely. Introduction to AI Safety, Ethics, and Society offers a comprehensive and
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Global Index on Responsible AI 2024
Deep Insights
Global Center on AI Governance (2024), 62 pp.
"The First Edition of the GlRAI revealed that global progress toward responsible AI is lagging far behind the development and adoption of AI. There are major gaps across many parts of the world and in many core areas of responsible AI, especially those areas related to protecting the rights of vuln
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"[...] 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
...
"To foster a multifaceted perspective on AI ethics, a pluriversal approach needs to be employed. This two-day workshop “AI Ethics from the Majority World: Reconstructing the Global Debate Through Decolonial Lenses” offers a forum to discuss alternatives to the status quo of AI ethics. Hosted by
...
AI in the Academe: Opportunities and Challenges for Religious Education
Religion and Social Communication, volume 22, issue 2 (2024), pp. 372-394
"The coming of artificial intelligence (AI), dramatically signaled by the release of ChatGPT 3.5 in November 2022, sparked varied reactions and questions in various sectors and industries, including the field of education. Prior to this, AI technology has been gaining ground with its various applica
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Problem-solving? No, problem-opening! A method to reframe and teach data ethics as a transdisciplinary endeavour
Big Data & Society, issue July–September (2024), 14 pp.
"Starting from the recognition of the limits of today’s common essentialist and axiological understandings of data and ethics, in this article we make the case for an ecosystemic understanding of data ethics (for the city) that accounts for the inherent value-laden entanglements and unintended (bo
...
Handbook on the Ethics of Artificial Intelligence
Northampton: Edward Elgar Publishing (2024), ix, 326 pp.
"This engaging Handbook critically examines the moral opportunities and challenges surrounding artificial intelligence. It provides a comprehensive overview of the most pressing problems concerning this technology by drawing on a wide range of analytical methods, traditions and approaches. Advocatin
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Digital Ethics: A Teaching Handbook
Geneva: Globethics Publications (2024), 119 pp.
"This 'Digital Ethics' handbook emphasises ethics in the digital era, targeting educators in higher education. It comprises three main chapters: “Digital Ethics” covers technology-society dynamics, a range of ethical approaches and tools, and contemporary issues such as data ethics, AI ethics, a
...
Data Solidarity Glossary
Deep Insights
Geneva: Digital Transformations for Health Lab (DTH-Lab) (2024), 54 pp.
"This glossary seeks to clarify key concepts relevant to data solidarity and explain data solidarity’s relationship to other key concepts and instruments in the domain of data governance and data ethics. It complements previous publications on this topic and in particular, the White Paper on Data
...
AI Governance Ethics: Artificial Intelligence with Shared Values and Rules
Deep Insights
Geneva: Globethics (2024), 519 pp.
"Artificial Intelligence influences already almost all sectors of society, from production, consumption and recycling of products to education and media, from agriculture to military. The search for AI governance from voluntary standards to international convention and standards is fast and urgent.
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Künstliche Intelligenz und ethische Verantwortung
Bielefeld: transcript Verlag (2024), 264 pp.
"Wie sieht ethische Verantwortung im Zeitalter der Digitalisierung, Datafizierung und Künstlichen Intelligenz aus? Die Beiträger*innen geben fundierte Einsichten in die KI-gestützte Entscheidungs- und Urteilsfindung. Von der digitalen Operationalisierung über die Rolle des Menschen im Zentrum de
...
Mapping Scholarship on Algorithmic Bias: Conceptualization, Empirical Results, and Ethical Concerns
International Journal of Communication, volume 18 (2024), pp. 548-569
"As artificial intelligence (AI) becomes more seamlessly integrated into our social life, the unfair outcomes and ethical issues associated with AI and its subtechnologies have been widely discussed in scholarly work across disciplines in recent years. This study provides an overview of the conceptu
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The Oxford Handbook of Digital Ethics
Oxford; New York: Oxford University Press (2024), xvi, 786 pp.
"The Oxford Handbook of Digital Ethics is a lively and authoritative guide to ethical issues related to digital technologies, with a special emphasis on AI. Philosophers with a wide range of expertise cover thirty-seven topics: from the right to have access to internet, to trolling and online shamin
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"This report identifies the contextual, social, and political factors that may shape decisions on whether to call for red lines on the use of artificial intelligence (AI) or whether to focus on other routes to challenging use cases, including through engagement with companies and the use of regulato
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