Switch to: References

Add citations

You must login to add citations.
  1. Foundations of an Ethical Framework for AI Entities: the Ethics of Systems.Andrej Dameski - 2020 - Dissertation, University of Luxembourg
    The field of AI ethics during the current and previous decade is receiving an increasing amount of attention from all involved stakeholders: the public, science, philosophy, religious organizations, enterprises, governments, and various organizations. However, this field currently lacks consensus on scope, ethico-philosophical foundations, or common methodology. This thesis aims to contribute towards filling this gap by providing an answer to the two main research questions: first, what theory can explain moral scenarios in which AI entities are participants?; and second, what (...)
    Download  
     
    Export citation  
     
    Bookmark  
  • Explorative Nanophilosophy as Tecnoscienza: An Italian Perspective on the Role of Speculation in Nanoindustry.Steven Umbrello - 2019 - TECNOSCIENZA: Italian Journal of Science and Technology Studies 10 (1):71-88.
    There are two primary camps in which nanotechnology today can be categorized normal nanotechnology and speculative nanotechnology. The birth of nanotechnology proper was conceived through discourses of speculative nanotechnology. However, current nanotech-nology research has detracted from its speculative promises in favour of more attainable material products. Nonetheless, normal nanotechnology has leveraged the popular support and consequential funding it needs to conduct research and development (R&D) as a result of popular conceptions of speculative nanotechnology and its promises. Similarly, the scholarly literature (...)
    Download  
     
    Export citation  
     
    Bookmark  
  • A Value-Sensitive Design Approach to Intelligent Agents.Steven Umbrello & Angelo Frank De Bellis - 2018 - In Yampolskiy Roman (ed.), Artificial Intelligence Safety and Security. CRC Press. pp. 395-410.
    This chapter proposed a novel design methodology called Value-Sensitive Design and its potential application to the field of artificial intelligence research and design. It discusses the imperatives in adopting a design philosophy that embeds values into the design of artificial agents at the early stages of AI development. Because of the high risk stakes in the unmitigated design of artificial agents, this chapter proposes that even though VSD may turn out to be a less-than-optimal design methodology, it currently provides a (...)
    Download  
     
    Export citation  
     
    Bookmark   13 citations  
  • The ethics of algorithms: mapping the debate.Brent Mittelstadt, Patrick Allo, Mariarosaria Taddeo, Sandra Wachter & Luciano Floridi - 2016 - Big Data and Society 3 (2):2053951716679679.
    In information societies, operations, decisions and choices previously left to humans are increasingly delegated to algorithms, which may advise, if not decide, about how data should be interpreted and what actions should be taken as a result. More and more often, algorithms mediate social processes, business transactions, governmental decisions, and how we perceive, understand, and interact among ourselves and with the environment. Gaps between the design and operation of algorithms and our understanding of their ethical implications can have severe consequences (...)
    Download  
     
    Export citation  
     
    Bookmark   220 citations  
  • Implementation of Moral Uncertainty in Intelligent Machines.Kyle Bogosian - 2017 - Minds and Machines 27 (4):591-608.
    The development of artificial intelligence will require systems of ethical decision making to be adapted for automatic computation. However, projects to implement moral reasoning in artificial moral agents so far have failed to satisfactorily address the widespread disagreement between competing approaches to moral philosophy. In this paper I argue that the proper response to this situation is to design machines to be fundamentally uncertain about morality. I describe a computational framework for doing so and show that it efficiently resolves common (...)
    Download  
     
    Export citation  
     
    Bookmark   6 citations  
  • Seeming autonomy, technology and the uncanny valley.Rasmus Gahrn-Andersen - 2022 - AI and Society 37 (2):595-603.
    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 (...)
    Download  
     
    Export citation  
     
    Bookmark   3 citations  
  • People are averse to machines making moral decisions.Yochanan E. Bigman & Kurt Gray - 2018 - Cognition 181 (C):21-34.
    Download  
     
    Export citation  
     
    Bookmark   33 citations