1,721,011 research outputs found

    Artificial intelligence and human autonomy: the case of driving automation

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    The present paper aims at contributing to the ethical debate on the impacts of artificial intelligence (AI) systems on human autonomy. More specifically, it intends to offer a clearer understanding of the design challenges to the effort of aligning driving automation technologies to this ethical value. After introducing the discussion on the ambiguous impacts that AI systems exert on human autonomy, the analysis zooms in on how the problem has been discussed in the literature on connected and automated vehicles (CAVs). On this basis, it is claimed that the issue has been mainly tackled on a fairly general level, and mostly with reference to the controversial issue of crash-optimization algorithms, so that only limited design insights have been drawn. However, integrating ethical analysis and design practices is critical to pursue the implementation of such an important ethical value into CAV technologies. To this aim, it is argued, a more applied approach targeted at examining the impacts on human autonomy of current CAV functions should also be explored. As an example of the intricacy of this task, the case of automated route planning is discussed in some detail

    Hans Jonas’s image theory

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    This essay explores Jonas's multifaceted and rich enquiries into the notion of image. In particular, it argues that reflecting on the "image" helps Jonas clarify the unique condition of human existence, where the twine of thought and being reveals a paradoxical (and yet crucial) relationship between time and eternity, change and permanence, immanence and transcendence. The employ of the interpretative device provided by the image enables a nuanced understanding of the human complexity which goes beyond the partial and reductive descriptions of relativistic immanentism, on the one hand, and immutable transcendence, on the other. By commenting upon its anthropological, aesthetic, and ethical significance, we propose that the study of Jonas's thoughts on the image not only offers valuable insights into the philosophical understanding of such a fascinating object, but also sheds a new and interesting light on the unity of his oeuvre

    Designing Driving Automation for Human Autonomy: Self-determination, the Good Life, and Social Deliberation

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    The present chapter analyses the complex ways in which driving automation affects human autonomy with the aim of raising awareness on the design and policy challenges that must be faced to effectively align future transportation systems to this ethical value. Building on the European report Ethics of Connected and Automated Vehicles, we consider three dimensions of the relation between human autonomy and driving automation: autonomy as self-determination of driving decisions; autonomy as freedom to pursue a good life through mobility; and, finally, autonomy as the capacity and opportunity to influence social deliberation concerning transportation policies and planning. In doing so, the chapter shows that delegating driving tasks to CAVs might both infringe and support user autonomy, thus calling for a reconsideration of widespread frameworks concerning the role of humans and technological systems in this domain. Moreover, it stresses the importance of promoting inclusive and participated decision-making processes on transportation policies and planning, so to avoid situations where the development and adoption of transport innovations are led by agents willing to respond only to a limited set of stakeholders’ needs

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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