This paper considers whether victims can justify what appears to be unnecessary defensive harming by reference to an honour-based justification. I argue that such an account faces serious problems: the honour-based justification cannot permit, first, defensive harming, and second, substantial unnecessary harming. Finally, I suggest that, if the purpose of the honour based justification is expressive, an argument must be given to demonstrate why harming threateners, as opposed to opting for a non-harmful alternative, is the most effective means of affirming (...) one’s honour. Along the way, I also suggest why I think that internalism about the constraints on defensive harming (the view that the satisfaction of the necessity constraint is a necessity condition of a threatener’s liability) is correct. Most importantly, externalism implies that threateners can be liable to suffer gratuitous harm. I take this to be an unattractive consequence of the view. (shrink)

The feeling (quale) brings the "Hard Problem" to philosophy of mind. Does the subjective feeling have a non-ignorable impact on Intelligence? If so, can the feeling be realized in Artificial Intelligence (AI)? To discuss the problems, we have to figure out what the feeling means, by giving a clear definition. In this paper, we primarily give some mainstream perspectives on the topic of the mind, especially the topic of the feeling (or qualia, subjective experience, etc.). Then, a definition of the (...) feeling is proposed through a thought experiment, the "semi-transparent room". The feeling, roughly to say, is defined as "a tendency of changing input representations by representing its inner state". Also, a formalized definition is given. The definition does not help to verify "having the feeling", but it helps to provide evidence. Based on the definition, we think these are the hard problems of intelligence — whether the "innate" feeling plays an important role in Intelligence, whether the difference between the "simulated" feeling and the "innate" feeling will have a significant influence on Artificial General Intelligence (AGI), and, if so, where the "innate" feeling comes from and how to make an artificial agent possess it. (shrink)

In this essay, we analyze the Black Mirror episode "Arkangel" alongside Nietzsche’s critique of religion. After providing an overview of his critique, we argue that the episode demonstrates how a world enframed by technology itself ends up being just as decadent, or just as pathological, repressive, corrupt, anti-life, and unredemptive as Nietzsche accuses Christianity of being. Nietzsche thought, at one point, that science and technology might provide a non-metaphysical or non-theological solution to what he calls our “metaphysical need.” However, Arkangel (...) shows how technology does not overcome problems of idolatrous forms of religion and can be just another tool for manipulation that produces the same kinds of pathologies. Nietzsche insists that the only way to overcome religion as an oppressive system is to “philosophize with a hammer,” or to deconstruct its idolatrous strictures and the “all too human” forces behind it. Ultimately, this deconstruction requires declaring “the death of God.”. (shrink)

Altruism is embedded in our biology and in our culture. We offer our bus seats to the disabled and elderly, give directions to disoriented tourists, and donate a portion of our income charity. Yet for all the good it does, there are deep problems with altruism as it is practiced today. Nearly all of us, when asked, will say that we care about practicing altruism in a way that effectively improves the lives of others. Almost none of us, when asked, (...) can honestly say that we have made a serious effort to ensure that we are practicing altruism in a way that effectively improves the lives of others. Disparities like these are indicative of flaws in our cognitive architecture - biases which ensure that the traditional practice of altruism is incongruous with our own values. This disconnect between our values and our actions causes our altruistic efforts to help fewer people to a lesser extent than they otherwise could. I argue that traditional altruism is in need of reformation and defend a social and philosophical movement aimed at achieving this reformation known as effective altruism. The reason effective altruism is such a promising alternative to traditional altruism is its application of economic thinking to the realm of altruism and morality. An economist’s mentality is, I suggest, a necessary instrument for bridging the gap between our values and our actions, allowing us to practice altruism in a way that more effectively improves the lives of others. (shrink)

This volume celebrates the various facets of Alan Turing (1912–1954), the British mathematician and computing pioneer, widely considered as the father of computer science. It is aimed at the general reader, with additional notes and references for those who wish to explore the life and work of Turing more deeply. -/- The book is divided into eight parts, covering different aspects of Turing’s life and work. -/- Part I presents various biographical aspects of Turing, some from a personal point of (...) view. -/- Part II presents Turing’s universal machine (now known as a Turing machine), which provides a theoretical framework for reasoning about computation. His 1936 paper on this subject is widely seen as providing the starting point for the field of theoretical computer science. -/- Part III presents Turing’s working on codebreaking during World War II. While the War was a disastrous interlude for many, for Turing it provided a nationally important outlet for his creative genius. It is not an overstatement to say that without Turing, the War would probably have lasted longer, and may even have been lost by the Allies. The sensitive nature of Turning’s wartime work meant that much of this has been revealed only relatively recently. -/- Part IV presents Turing’s post-War work on computing, both at the National Physical Laboratory and at the University of Manchester. He made contributions to both hardware design, through the ACE computer at the NPL, and software, especially at Manchester. Part V covers Turing’s contribution to machine intelligence (now known as Artificial Intelligence or AI). Although Turing did not coin the term, he can be considered a founder of this field which is still active today, authoring a seminal paper in 1950. -/- Part VI covers morphogenesis, Turing’s last major scientific contribution, on the generation of seemingly random patterns in biology and on the mathematics behind such patterns. Interest in this area has increased rapidly in recent times in the field of bioinformatics, with Turing’s 1952 paper on this subject being frequently cited. -/- Part VII presents some of Turing’s mathematical influences and achievements. Turing was remarkably free of external influences, with few co-authors – Max Newman was an exception and acted as a mathematical mentor in both Cambridge and Manchester. -/- Part VIII considers Turing in a wider context, including his influence and legacy to science and in the public consciousness. -/- Reflecting Turing’s wide influence, the book includes contributions by authors from a wide variety of backgrounds. Contemporaries provide reminiscences, while there are perspectives by philosophers, mathematicians, computer scientists, historians of science, and museum curators. Some of the contributors gave presentations at Turing Centenary meetings in 2012 in Bletchley Park, King’s College Cambridge, and Oxford University, and several of the chapters in this volume are based on those presentations – some through transcription of the original talks, especially for Turing’s contemporaries, now aged in their 90s. Sadly, some contributors died before the publication of this book, hence its dedication to them. -/- For those interested in personal recollections, Chapters 2, 3, 11, 12, 16, 17, and 36 will be of interest. For philosophical aspects of Turing’s work, see Chapters 6, 7, 26–31, and 41. Mathematical perspectives can be found in Chapters 35 and 37–39. Historical perspectives can be found in Chapters 4, 8, 9, 10, 13–15, 18, 19, 21–25, 34, and 40. With respect to Turing’s body of work, the treatment in Parts II–VI is broadly chronological. We have attempted to be comprehensive with respect to all the important aspects of Turing’s achievements, and the book can be read cover to cover, or the chapters can be tackled individually if desired. There are cross-references between chapters where appropriate, and some chapters will inevitably overlap. -/- We hope that you enjoy this volume as part of your library and that you will dip into it whenever you wish to enter the multifaceted world of Alan Turing. (shrink)

This richly illustrated book offers new perspectives and research on how digital culture is transforming museums in the 21st century, as they strive to keep pace with emerging technologies driving cultural and social change, played out not only in today’s pervasive networked environment of the Internet and Web, but in everyday life, from home to work and on city streets. In a world where digital culture has redefined human information behavior as life in code and digits, increasingly it dominates human (...) activity and communication. These developments have radically changed the expectations of the museum visitor, real and virtual, the work of museum professionals and, most prominently, the nature of museum exhibitions, while digital art and life in a digitally saturated world is changing our ways of seeing, doing, our senses and aesthetics. -/- Overall, this book creates a new picture of the 21st-century museum field. As museums become shared spaces with their communities, local, national and global and move from collection-centered to user-/visitor-centered institutions, they are assuming new roles and responsibilities tied to new goals for engaging their audience, conveying meaning through collections, creating learning experiences and importantly, connecting to daily digital life and culture integral to the museum ecosystem. Our studies of recent exhibitions at museums leading change are used to exemplify new directions, while they point to a reimagined vision for museums of the future at the heart of which is the integration of digital culture and visitor experience and participation in real and virtual space. (shrink)

This is a review of The Turing Guide (2017), written by Jack Copeland, Jonathan Bowen, Mark Sprevak, Robin Wilson, and others. The review includes a new sociological approach to the problem of computability in physics.