In this paper I home in on an ethical phenomenon that is powerfully elucidated by means of enactive resources but that has, to my knowledge, not yet been explicitly addressed in the literature. The phenomenon in question concerns what I will term the paradox of moral perception, which, to be clear, does not refer to a logical but to a phenomenological-practical paradoxicality. Specifically, I have in mind the seemingly contradictory phenomenon that perceiving persons as moral subjects is at once incredibly (...) easy and incredibly difficult; it is something we do nearly effortlessly and successfully all the time without giving it much thought and it is something that often requires effort and that we fail at all the time. As I will argue, enactivism offers distinctive resources for explaining the paradoxical nature of moral perception. These resources, moreover, bring out two important dimensions of ethical life that are frequently overlooked in contemporary ethical theory: namely the embodied and socio-technical environment-embedded dimensions of moral perception and moral visibility. As I make my argument, I will be connecting enactivism with insights from David Hume’s and Iris Murdoch’s moral philosophy as well as insights from the field of Epistemic Injustice. As such, I aim to situate enactivism within the larger theoretical ethical landscape; showing connections with existing ethical theories and identifying some of the ways in which enactivism offers unique contributions to our understanding of ethical life. While doing so, I will furthermore introduce two forms of moral misperception: particular moral misperception and categorial moral misperception. (shrink)

This paper proposes a conceptual framework for evaluating how social networking platforms fare as epistemic environments for human users. I begin by proposing a situated concept of epistemic agency as fundamental for evaluating epistemic environments. Next, I show that algorithmic personalisation of information makes social networking platforms problematic for users’ epistemic agency because these platforms do not allow users to adapt their behaviour sufficiently. Using the tracing principle inspired by the ethics of self-driving cars, I operationalise it here and identify (...) three requirements that automated epistemic environments need to fulfil: (a) the users need to be afforded a range of skilled actions; (b) users need to be sensitive to the possibility to use their skills; (c) the habits built when adapting to the platform should not undermine the user’s pre-existing skills. I then argue that these requirements are almost impossible to fulfil all at the same time on current SN platforms; yet nevertheless, we need to pay attention to these whenever we evaluate an epistemic environment with automatic features. Finally, as an illustration, I show how Twitter, a popular social networking platform, will fare regarding these requirements. (shrink)