Switch to: References

Add citations

You must login to add citations.
  1. Machine Learning in Society: Prospects, Risks, and Benefits.Mirko Farina & Witold Pedrycz - 2024 - Philosophy and Technology 37 (3):1-8.
    Machine Learning (ML) is revolutionizing the functioning of our societies and reshaping much of the economic tissue underlying them. The deep integration of ML into the fabric of our lives has changed to way we work and communicate and how we relate to each other. In this Topical Collection we reflect on the reach and impact of this AI (ML-driven) revolution in our society, critically analyzing some of the most important ethical, epistemological, scientific, and sociological issues underlying it.
    Download  
     
    Export citation  
     
    Bookmark  
  • Epistemic benevolence.Shane Ryan - 2024 - Asian Journal of Philosophy 3 (2):1-12.
    I make the case that what gets called epistemic paternalism isn’t correctly labelled as such. This mislabelling is problematic for two reasons. First, paternalism in general faces strong challenges to its permissibility. Second, the scope for action of epistemic paternalism is somewhat narrow given the typical concerns of applied epistemology. Having clarified epistemic paternalism and discussed the above considerations, this paper introduces epistemic benevolence. The case is made that the epistemic benevolence-based approach can avoid some of the strong challenges that (...)
    Download  
     
    Export citation  
     
    Bookmark