Switch to: References

Add citations

You must login to add citations.
  1. A Comparative Defense of Self-initiated Prospective Moral Answerability for Autonomous Robot harm.Marc Champagne & Ryan Tonkens - 2023 - Science and Engineering Ethics 29 (4):1-26.
    As artificial intelligence becomes more sophisticated and robots approach autonomous decision-making, debates about how to assign moral responsibility have gained importance, urgency, and sophistication. Answering Stenseke’s (2022a) call for scaffolds that can help us classify views and commitments, we think the current debate space can be represented hierarchically, as answers to key questions. We use the resulting taxonomy of five stances to differentiate—and defend—what is known as the “blank check” proposal. According to this proposal, a person activating a robot could (...)
    Download  
     
    Export citation  
     
    Bookmark  
  • The value of responsibility gaps in algorithmic decision-making.Lauritz Munch, Jakob Mainz & Jens Christian Bjerring - 2023 - Ethics and Information Technology 25 (1):1-11.
    Many seem to think that AI-induced responsibility gaps are morally bad and therefore ought to be avoided. We argue, by contrast, that there is at least a pro tanto reason to welcome responsibility gaps. The central reason is that it can be bad for people to be responsible for wrongdoing. This, we argue, gives us one reason to prefer automated decision-making over human decision-making, especially in contexts where the risks of wrongdoing are high. While we are not the first to (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  • Is AI the Future of Mental Healthcare?Francesca Minerva & Alberto Giubilini - 2023 - Topoi 42 (3):809-817.
    Download  
     
    Export citation  
     
    Bookmark  
  • Engineers on responsibility: feminist approaches to who’s responsible for ethical AI.Eleanor Drage, Kerry McInerney & Jude Browne - 2024 - Ethics and Information Technology 26 (1):1-13.
    Responsibility has become a central concept in AI ethics; however, little research has been conducted into practitioners’ personal understandings of responsibility in the context of AI, including how responsibility should be defined and who is responsible when something goes wrong. In this article, we present findings from a 2020–2021 data set of interviews with AI practitioners and tech workers at a single multinational technology company and interpret them through the lens of feminist political thought. We reimagine responsibility in the context (...)
    Download  
     
    Export citation  
     
    Bookmark  
  • Responsibility Internalism and Responsibility for AI.Huzeyfe Demirtas - 2023 - Dissertation, Syracuse University
    I argue for responsibility internalism. That is, moral responsibility (i.e., accountability, or being apt for praise or blame) depends only on factors internal to agents. Employing this view, I also argue that no one is responsible for what AI does but this isn’t morally problematic in a way that counts against developing or using AI. Responsibility is grounded in three potential conditions: the control (or freedom) condition, the epistemic (or awareness) condition, and the causal responsibility condition (or consequences). I argue (...)
    Download  
     
    Export citation  
     
    Bookmark