As an idea, transhumanism has received increasing attention in recent years and across numerous domains. Despite presidential candidates such as Zoltan Istvan, who ran on an explicitly Transhumanist platform in 2016 but later dropped out to endorse Hillary Clinton, transhumanism has taken root more recently in the conspiratorial imaginations of the dark web. Given the philosophy’s central emphasis on technology as an inherent good, imaginations in supposed alt-right internet circles have criticised it as an ideological gateway to global, fully-automated Communism. (...) This is not to say that such discussions on transhumanism are exclusively siloed and on the margins of society. Related discussions are happening at various well-known institutions and research centres such as the Institute for Ethics and Emerging Technologies, a non-profit think tank dedicated to techno-progressivism where I have been managing director for half a decade. What I mean to say here is that transhumanism is not monolithic. It is best described as multi-faceted and existing in different instantiations across multiple domains. James Michael MacFarlane’s recent book, Transhumanism as a New Social Movement: The Techno- Imagination, is an attempt to trace the history, meaning, and practices that characterise this variegated term. (shrink)

In recent years, increasingly advanced artificial intelligence (AI), and in particular machine learning, has shown great promise as a tool in various healthcare contexts. Yet as machine learning in medicine has become more useful and more widely adopted, concerns have arisen about the “black-box” nature of some of these AI models, or the inability to understand—and explain—the inner workings of the technology. Some critics argue that AI algorithms must be explainable to be responsibly used in the clinical encounter, while supporters (...) of AI dismiss the importance of explainability and instead highlight the many benefits the application of this technology could have for medicine. However, this dichotomy fails to consider the particular ways in which machine learning technologies mediate relations in the clinical encounter, and in doing so, makes explainability more of a problem than it actually is. We argue that postphenomenology is a highly useful theoretical lens through which to examine black-box AI, because it helps us better understand the particular mediating effects this type of technology brings to clinical encounters and moves beyond the explainability stalemate. Using a postphenomenological approach, we argue that explainability is more of a concern for physicians than it is for patients, and that a lack of explainability does not introduce a novel concern to the physician–patient encounter. Explainability is just one feature of technological mediation and need not be the central concern on which the use of black-box AI hinges. (shrink)

Smartphone technology is ubiquitous and subject to frequent complaints, both by reformers and the recalcitrant. The ubiquity of smartphone technology has led to many negative consequences, some of which may not be fully addressed by empirically oriented literature. One such consequence is a threat to a certain kind of autonomy. I argue that this threat justifies a form of Cynicism about smartphone technology, styled after ancient Cynicism. Cynicism is importantly different from its colloquialized, contemporary namesake (“cynicism”). While ancient Cynicism shares (...) the theme of opting out, in some sense, with contemporary cynicism, it is not a philosophy of withdrawn futility; in fact, the Cynic emphasis on embodiment may have an import on our lives in a time of smartphone ubiquity. Accordingly, I offer one Cynic value, autarkeia (self-sufficiency), which can be recruited to address the way that smartphone technology threatens our autonomy. (shrink)

It is commonly assumed that a virtual life would be less meaningful (perhaps even meaningless). As virtual reality technologies develop and become more integrated into our everyday lives, this poses a challenge for those that care about meaning in life. In this chapter, it is argued that the common assumption about meaninglessness and virtuality is mistaken. After clarifying the distinction between two different visions of virtual reality, four arguments are presented for thinking that meaning is possible in virtual reality. Following (...) this, four objections are discussed and rebutted. The chapter concludes that we can be cautiously optimistic about the possibility of meaning in virtual worlds. (shrink)