Philosophical and sociological approaches in technology have increasingly shifted toward describing AI (artificial intelligence) systems as ‘(moral) agents,’ while also attributing ‘agency’ to them. It is only in this way – so their principal argument goes – that the effects of technological components in a complex human-computer interaction can be understood sufficiently in phenomenological-descriptive and ethical-normative respects. By contrast, this article aims to demonstrate that an explanatory model only achieves a descriptively and normatively satisfactory result if the concepts of ‘(moral) (...) agent’ and ‘(moral) agency’ are exclusively related to human agents. Initially, the division between symbolic and sub-symbolic AI, the black box character of (deep) machine learning, and the complex relationship network in the provision and application of machine learning are outlined. Next, the ontological and action-theoretical basic assumptions of an ‘agency’ attribution regarding both the current teleology-naturalism debate and the explanatory model of actor network theory are examined. On this basis, the technical-philosophical approaches of Luciano Floridi, Deborah G. Johnson, and Peter-Paul Verbeek will all be critically discussed. Despite their different approaches, they tend to fully integrate computational behavior into their concept of ‘(moral) agency.’ By contrast, this essay recommends distinguishing conceptually between the different entities, causalities, and relationships in a human-computer interaction, arguing that this is the only way to do justice to both human responsibility and the moral significance and causality of computational behavior. (shrink)

Chapter 1 Introduction How are participants associated with the eventualities they participate in? Are there events? Thematic roles? ...

People with disabilities are underrepresented in STEM fields, and all too often, they face isolation and ableism in academia. Uncharted is a collection of powerful first-person stories by current and former scientists with disabilities or chronic conditions who have faced changes in their careers, including both successes and challenges, because of their health. It gives voice to common experiences that are frequently overlooked or left unspoken. These deeply personal accounts describe not only health challenges but also the joys, sorrows, humor, (...) and wonder of science and scientists. With a breadth of perspectives on being disabled or chronically ill, these stories highlight the intersectionality of minoritized identities with the disability community. Uncharted features essays by contributors who are d/Deaf, blind, neurodivergent, wheelchair users, have experienced traumatic brain injuries, have blood sugar disorders, have rare medical diagnoses, or have received psychiatric diagnoses, among many others. In many cases, the scientific field is not fully accessible to them, and they frankly describe struggling as well as thriving alongside their conditions. This book serves as representation for scientists who have never felt comfortable disclosing their disability or who have never felt fully understood. The stories shared in this book seek to normalize medical conditions and disabilities in scientific culture, offering recommendations for how and why to improve access. Uncharted is vital and compelling reading for current and aspiring scientists who want to make their fields more inclusive and supportive for everyone. (shrink)