First African Digital Humanism Summer School 2025

• URL: http://arxiv.org/abs/2601.08870v1
• Date: Sun, 11 Jan 2026 20:55:37 GMT
• Title: First African Digital Humanism Summer School 2025
• Authors: Carine P. Mukamakuza, Monika Lanzenberger, George Metakides, Tim Brown, Hannes Werthner,
• Abstract summary: Artificial intelligence (AI) has become a transformative force across global societies.<n>As AI systems increasingly mediate interactions between humans, questions about the ability to take into account and understand culture, language, and context have taken center stage.<n>This book explores these questions through a series of articles that try to assess AI's capacity to navigate cross-cultural, multilingual, and high-stakes policy environments.
• Score: 0.3044748118797889
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• Abstract: Artificial intelligence (AI) has become a transformative force across global societies, reshaping the ways we communicate, collaborate, and make decisions. Yet, as AI systems increasingly mediate interactions between humans, questions about the ability to take into account and understand culture, language, and context have taken center stage. This book explores these questions through a series of articles that try to assess AI's capacity to navigate cross-cultural, multilingual, and high-stakes policy environments, emphasizing human-centered approaches that balance technological innovation with social equity. It brings together six case studies from the First African Digital Humanism Summer School that took place in Kigali, Rwanda in July 2025.

Related papers

• The Future of Artificial Intelligence and the Mathematical and Physical Sciences (AI+MPS) [61.845407777089726]
  This community paper developed out of the NSF Workshop on the Future of Artificial Intelligence (AI) and the Mathematical and Physics Sciences (MPS)<n>We present here a summary and snapshot of the MPS community's perspective, as of Spring/Summer 2025.<n>We propose activities and strategic priorities that: (1) enable AI+MPS research in both directions; (2) build up an interdisciplinary community of AI+MPS researchers; and (3) foster education and workforce development in AI for MPS researchers and students.
  arXiv  Detail & Related papers  (2025-09-02T18:00:00Z)
• AI-Driven Media & Synthetic Knowledge: Rethinking Society in Generative Futures [0.0]
  Students explored core concepts such as generative AI, fake media, and synthetic knowledge production.<n>The two-part format enabled deep reflection on power, responsibility, and education in AI-augmented communication.
  arXiv  Detail & Related papers  (2025-07-26T09:12:21Z)
• Assessing Computer Science Student Attitudes Towards AI Ethics and Policy [8.927858368749204]
  The attitudes and competencies with respect to AI ethics and policy among post-secondary students studying computer science (CS) are of particular interest.<n>Despite computer scientists being at the forefront of learning about and using AI tools, their attitudes towards AI remain understudied.
  arXiv  Detail & Related papers  (2025-04-06T23:03:47Z)
• Position: Towards Bidirectional Human-AI Alignment [109.57781720848669]
  We argue that the research community should explicitly define and critically reflect on "alignment" to account for the bidirectional and dynamic relationship between humans and AI.<n>We introduce the Bidirectional Human-AI Alignment framework, which not only incorporates traditional efforts to align AI with human values but also introduces the critical, underexplored dimension of aligning humans with AI.
  arXiv  Detail & Related papers  (2024-06-13T16:03:25Z)
• Advancing Social Intelligence in AI Agents: Technical Challenges and Open Questions [67.60397632819202]
  Building socially-intelligent AI agents (Social-AI) is a multidisciplinary, multimodal research goal. We identify a set of underlying technical challenges and open questions for researchers across computing communities to advance Social-AI.
  arXiv  Detail & Related papers  (2024-04-17T02:57:42Z)
• Now, Later, and Lasting: Ten Priorities for AI Research, Policy, and Practice [63.20307830884542]
  Next several decades may well be a turning point for humanity, comparable to the industrial revolution. Launched a decade ago, the project is committed to a perpetual series of studies by multidisciplinary experts. We offer ten recommendations for action that collectively address both the short- and long-term potential impacts of AI technologies.
  arXiv  Detail & Related papers  (2024-04-06T22:18:31Z)
• AI for social science and social science of AI: A Survey [47.5235291525383]
  Recent advancements in artificial intelligence have sparked a rethinking of artificial general intelligence possibilities. The increasing human-like capabilities of AI are also attracting attention in social science research.
  arXiv  Detail & Related papers  (2024-01-22T10:57:09Z)
• Artificial Intelligence and Life in 2030: The One Hundred Year Study on Artificial Intelligence [74.2630823914258]
  The report examines eight domains of typical urban settings on which AI is likely to have impact over the coming years. It aims to provide the general public with a scientifically and technologically accurate portrayal of the current state of AI. The charge for this report was given to the panel by the AI100 Standing Committee, chaired by Barbara Grosz of Harvard University.
  arXiv  Detail & Related papers  (2022-10-31T18:35:36Z)
• Could AI Democratise Education? Socio-Technical Imaginaries of an EdTech Revolution [11.654411353207935]
  Artificial Intelligence in Education has been said to have the potential for building more personalised curricula. Millions of students are already starting to benefit from the use of these technologies, but millions more around the world are not. If this trend continues, the first delivery of AI in Education could be greater educational inequality.
  arXiv  Detail & Related papers  (2021-12-03T17:32:20Z)
• The Short Anthropological Guide to the Study of Ethical AI [91.3755431537592]
  Short guide serves as both an introduction to AI ethics and social science and anthropological perspectives on the development of AI. Aims to provide those unfamiliar with the field with an insight into the societal impact of AI systems and how, in turn, these systems can lead us to rethink how our world operates.
  arXiv  Detail & Related papers  (2020-10-07T12:25:03Z)
• AI in society and culture: decision making and values [0.0]
  Several academic debates, social consultations and impact studies are available to reveal the key aspects of the changing human-machine ecosystem. In details, sociocultural filters, taxonomy of human-machine decisions and perspectives of value-based AI are in the focus of this literature review. For better understanding, it is proposed to invite stakeholders in the prepared large-scale survey about the next generation AI that investigates issues that go beyond the technology.
  arXiv  Detail & Related papers  (2020-04-29T07:09:39Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.