Mobility robots may soon be among us, triggering a need for safety regulation. Robot safety regulation, however, remains underexplored, with only a few articles analyzing what regulatory approaches could be feasible. This article offers an account of the available regulatory strategies and attempts to theorize the effects of simulation-based safety regulation. The article first discusses the distinctive features of mobility robots as regulatory targets and argues that emergent behavior constitutes the key regulatory concern in designing robot safety regulation regimes. In (...) contrast to many accounts, the article posits that emergent behavior dynamics do not arise from robot autonomy, learning capability, or code unexplainability. Instead, they emerge from the complexity of robot technological constitutions coupled with near-infinite environmental variability and non-linear performance dynamics of the machine learning components. Second, the article reviews rules-based and performance-based regulation and argues that both will fail adequately constrain emergent robot behaviors. The article claims that controlling mobility robots requires a simulation-based regulatory approach. Simulation-based regulation is a novelty with significant theoretical and practical implications. The article argues that the approach signifies a radical break in regulatory forms of knowledge and temporalities. Simulations enact virtual futures to create a new regulatory knowledge type. Practically, the novel safety knowledge type may destabilize the existing conceptual space of safety politics and liability allocation patterns. (shrink)

This article is an analytic register of recent European efforts in the making of ‘autonomous’ robots to address what is imagined as Europe’s societal challenges. The paper describes how an emerging techno-epistemic network stretches across industry, science, policy and law to legitimize and enact a robotics innovation agenda. Roadmap is the main metaphor and organizing tool in working across the disciplines and sectors, and in aligning these heterogeneous actors with a machine-centric vision along a path to make way for ‘new (...) kinds’ of robots. We describe what happens as this industry-dominated project docks in a public–private partnership with pan-European institutions and a legislative initiative on robolaw. Emphasizing the co-production of robotics and European innovation politics, we observe how well-known uncertainties and scholarly debates about machine capabilities and human–machine configurations, are unexpectedly played out in legal scholarship and institutions as a controversy and a significant problem for human-centered legal frameworks. European robotics are indeed driving an increase in speculative ethics and a new-found weight of possible futures in legislative practice. (shrink)

We study whether robots can satisfy the conditions of an agent fit to be held morally responsible, with a focus on autonomy and self-control. An analogy between robots and human groups enables us to modify arguments concerning collective responsibility for studying questions of robot responsibility. We employ Mele’s history-sensitive account of autonomy and responsibility to argue that even if robots were to have all the capacities required of moral agency, their history would deprive them from autonomy in a responsibility-undermining way. (...) We will also study whether humans and technological artifacts like robots can form hybrid collective agents that could be morally responsible for their actions and give an argument against such a possibility. (shrink)

This paper extends Mori’s (IEEE Robot Autom Mag 19:98–100, 2012) uncanny valley-hypothesis to include technologies that fail its basic criterion that uncanniness arises when the subject experiences a discrepancy in a machine’s human likeness. In so doing, the paper considers Mori’s hypothesis about the uncanny valley as an instance of what Heidegger calls the ‘challenging revealing’ nature of modern technology. It introduces seeming autonomy and heteronomy as phenomenological categories that ground human being-in-the-world including our experience of things and people. It (...) is suggested that this categorical distinction is more foundational than Heidegger’s existential structures and phenomenological categories. Having introduced this novel phenomenological distinction, the paper considers the limits of Mori’s hypothesis by drawing on an example from science fiction that showcases that uncanniness need not only be caused by machines that resemble human beings. In so doing, it explores how the seeming autonomy-heteronomy distinction clarifies (at least some of) the uncanniness that can arise when humans encounter advanced technology which is irreducible to the anthropocentrism that shapes Mori’s original hypothesis. (shrink)

Bu yazı yapay zekâ robotlarının kendiliğinden gelecekte bilinç ve özgür irade edinip edinemeyeceklerini ele almaktadır. Yapay zekâ hakkındaki genel algı ve bu algının geçerliliği ve rasyonel değeri de tartışılacaktır. Ardından önceden programlanmış yapay zeka robotlarının yapısı ile doğadaki varlıkların yapısı arasında karşılaştırma yapılacaktır. Yapay zekâ robotlarının duygu, özgür irade ve seçim konusunda insan ile karşılaştırılması yapıldıktan sonra meleklerin robotlar ile olan benzerlikleri ele alınacaktır. Son olarak da robotların özgür irade kullanamayacaklarının gerekçeleri üzerinde durulacaktır.

By following the arguments developed by Vygotsky and employing the cultural-historical activity theory (CHAT) in addition to dialectical logic, this paper attempts to investigate the interaction between psychology and artificial intelligence (AI) to confront the epistemological and methodological challenges encountered in AI research. The paper proposes that AI is facing an epistemological and methodological crisis inherited from psychology based on dualist ontology. The roots of this crisis lie in the duality between rationalism and objectivism or in the mind-body rupture that (...) has governed the production of scientific thought and the proliferation of approaches. In addition, by highlighting the sociohistorical conditions of AI, this paper investigates the historical characteristics of the shift of the crisis from psychology to AI. Additionally, we examine the epistemological and methodological roots of the main challenges encountered in AI research by noting that empiricism is the dominant tendency in the field. Empiricism gives rise to methodological and practical challenges, including challenges related to the emergence of meaning, abstraction, generalization, the emergence of symbols, concept formation, functional reflection of reality, and the emergence of higher psychological functions. Furthermore, through discussing attempts to formalize dialectical logic, the paper, based on contradiction formation, proposes a qualitative epistemological, methodological, and formal alternative by using a preliminary algorithmic model that grasps the formation of meaning as an essential ability for the qualitative reflection of reality and the emergence of other mental functions. (shrink)