"Imagining AI: How the World Sees Intelligent Machines is the first volume showcasing research into how different cultures around the globe envision life with artificial intelligence. AI is now a global phenomenon. Yet Hollywood narratives dominate perceptions of AI in the English-speaking West and
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beyond, and much of the technology itself is shaped by a disproportionately white, male, US-based elite. However, different cultures have been imagining intelligent machines since long before we could build them, in visions that vary greatly across religious, philosophical, literary and cinematic traditions. This book aims to spotlight these alternative visions. Imagining AI draws attention to the range and variety of visions of a future with intelligent machines and their potential significance for the research, regulation and implementation of AI. The book is structured geographically, with each chapter presenting insights into how a specific region or culture imagines intelligent machines. The contributors, leading experts from academia and the arts, explore how the encounters between local narratives, digital technologies, and mainstream Western narratives create new imaginaries and insights in different contexts across the globe. The narratives they analyse range from ancient philosophy to contemporary science fiction, and visual art to policy discourse. The book sheds new light on some of the most important themes in AI ethics, from the differences between Chinese and American visions of AI, to digital neo-colonialism. It is an essential work for anyone wishing to understand how different cultural contexts interplay with the most significant technology of our time." (Publisher description)
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"Digital transformations have had catalytic efects on African and European governance, economies, and societies, and will continue to do so. The COVID-19 pandemic has already accelerated the penetration of digital tools all over the globe and is likely to be perceived as a critical juncture in how a
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nd to what purpose the world accepts and uses new and emerging technologies. This book ofers a holistic analysis of how Africa and Europe can manage and harness digital transformation as partners in a globalised world. The authors shed light on issues ranging from economic growth, youth employment, and gender, to regulatory frameworks, business environments, entrepreneurship, and interest-driven power politics. They add much-needed perspectives to the debates that shape the two continents’ digital transformation and innovation environments." (Publisher description)
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"As we move forward in deepening our collective understanding of how AI is reshaping our societies, and what policy models are required to best manage its effects in service of human and planetary wellbeing, information is needed on the global state of implementation of the UNESCO principles and the
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barriers countries are facing in protecting people from risks to human rights and democratic freedoms AI may bring. This is the premise for the new Global Index on Responsible AI (Global Index)." (Page 2)
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"This paper discusses whether data trusts are feasible structures in an African context, concluding that there are significant limitations to a straight import of trust models developed elsewhere. It goes on to outline specific considerations that should be prioritised in the development of bottom u
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p and collective models of data governance on the continent, whether adopting a formal trust structure or not. This is done through a brief overview of data trusts and looking at data rights in Africa with particular focus on South Africa's data protection law. The paper then delves into the contentions of a Global South and Global North approach by highlighting the limitations of data trusts in an African context. It argues that the development of data trusts could still offer critical benefits especially when informed by African values and historical contexts. Making use of international instruments (Banjul Charter), principles (CARE) and values (Ubuntu), the paper emphasises the importance of collective decision-making relating to data and concludes with recommendations on collective and participatory governance, women's empowerment and capacity-building, to highlight how the alignment of data trusts to African contexts could help balance historical power differentials in the digital age." (Page 2)
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