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AI Narratives
This book is the first to examine the history of imaginative thinking about intelligent machines, featuring contributions from leading humanities and social science scholars who detail the narratives about artificial intelligence (AI) that in turn offer a crucial epistemic site for exploring contemporary debates about these powerful technologies.
Perspectives on Evil
The question of evil is one of the oldest and most intensely studied topics in intellectual history. In fiction, legend and mythology the boundary between good and evil is often depicted as clear-cut, at least to the reader or listener, who is supposed to understand such tales as lessons and warnings. Evil is something that must be avoided by the hero in some cases and vanquished in others; it is either the exact opposite of the expected good behaviour, or its complete absence. Even so, for the characters in these didactic fictions, it turns out to be deceptively easy to fall to the infernal, ‘dark’ side. This volume draws on the expertise of an interdisciplinary group of contributors to chart events and deeds of an ‘evil’ nature that have been lived in the (recent) past and have become part of history, from individual to institutionalised evil.
Feminist AI
Chapters 5, 12, and 18 of this work are available under the terms of a CC BY-NC-ND 4.0 International open access licence. These parts of the work are free to read on the Oxford Academic platform and offered as a free PDF download from OUP and selected open access locations. Feminist AI: Critical Perspectives on Algorithms, Data and Intelligent Machines is the first volume to bring together leading feminist thinkers from across the disciplines to explore the impact of artificial intelligence (AI) and related data-driven technologies on human society. Recent years have seen both an explosion in AI systems and a corresponding rise in important critical analyses of these technologies. Central to...
Futures of Artificial Intelligence
Twenty-first century life is increasingly governed by artificial intelligence (AI) technologies such as machine learning, big data analysis, facial recognition, and robotics. For decades, an ideology of apocalyptic progress and cosmic transformation has accompanied the advancement of AI in the United States; that vision is intimately connected to transhumanism, the idea that humanity can transcend its limits, even mortality, using technology. Based on contributions from science and science fiction, advocates of such apocalyptic AI suggest that the world will soon see godlike machine intelligence and that human beings will upload their minds into immortal machine bodies. The arrival of this i...
Should You Choose to Live Forever?
In this book, Stephen Cave and John Martin Fischer debate whether or not we should choose to live forever. This ancient question is as topical as ever: while billions of people believe they will live forever in an otherworldly realm, billions of dollars are currently being poured into anti-ageing research in the hope that we will be able to radically extend our lives on earth. But are we wise to wish for immortality? What would it mean for each of us as individuals, for society, and for the planet? In this lively and accessible debate, the authors introduce the main arguments for and against living forever, along with some new ones. They draw on examples from myth and literature as well as n...
Moral Codes
Why the world needs less AI and better programming languages. Decades ago, we believed that robots and computers would take over all the boring jobs and drudgery, leaving humans to a life of leisure. This hasn’t happened. Instead, humans are still doing boring jobs, and even worse, AI researchers have built technology that is creative, self-aware, and emotional—doing the tasks humans were supposed to enjoy. How did we get here? In Moral Codes, Alan Blackwell argues that there is a fundamental flaw in the research agenda of AI. What humanity needs, Blackwell argues, is better ways to tell computers what we want them to do, with new and better programming languages: More Open Representatio...
Music and the Forms of Life
Inventors in the age of the Enlightenment created lifelike androids capable of playing music on real instruments. Music and the Forms of Life examines the link between such simulated life and music, which began in the era's scientific literature and extended into a series of famous musical works by Haydn, Mozart, and Beethoven. Music invented auditory metaphors for the scientific elements of life (drive, pulse, sensibility, irritability, even metabolism), investigated the affinities and antagonisms between life and mechanism, and explored questions of whether and how mechanisms can come to life. The resulting changes in the conceptions of both life and music had wide cultural resonance at th...
Mapping the Posthuman
This book works to delineate some of the major routes by which science and art intersect. Structured according to the origin myths of the posthuman that continue to shape the idea of the human in our technological modernity, this volume gives space to narratives of alter-modernity that resonate with Ursula K. Le Guin’s call for a new kind of story which exposes the violence and exploitation driven by a sustained belief in human exceptionalism, anthropocentrism, and cultural superiority. In this context, the posthuman myths of multispecies flourishing given in this collection, which are situated across a range of historical times and locations, and media and modalities, are to be thought of as kernels of possible futures that can only be realized through collective endeavour.
Learning Robot Vision under Insufficient Data
Machine learning is used today in a wide variety of applications, especially within computer vision, robotics, and autonomous systems. Example use cases include detecting people or other objects using cameras in autonomous vehicles, or navigating robots through collision-free paths to solve different tasks. The flexibility of machine learning is attractive as it can be applied to a wide variety of challenging tasks, without detailed prior knowledge of the problem domain. However, training machine learning models requires vast amounts of data, which leads to a significant manual effort, both for collecting the data and for annotating it. In this thesis, we study and develop methods for traini...
A Rule of Law for Our New Age of Anxiety
In an age of anxiety, Toope makes the case for a revitalised rule of law to bolster collective resilience and restore our capacity to build healthier societies. A pragmatic approach to the rule of law recognises its ability to chasten power, while not disconnecting law from other sources of social action and human agency.
