Switch to: References

Add citations

You must login to add citations.
  1. Algorithms and dehumanization: a definition and avoidance model.Mario D. Schultz, Melanie Clegg, Reto Hofstetter & Peter Seele - forthcoming - AI and Society:1-21.
    Dehumanization by algorithms raises important issues for business and society. Yet, these issues remain poorly understood due to the fragmented nature of the evolving dehumanization literature across disciplines, originating from colonialism, industrialization, post-colonialism studies, contemporary ethics, and technology studies. This article systematically reviews the literature on algorithms and dehumanization (n = 180 articles) and maps existing knowledge across several clusters that reveal its underlying characteristics. Based on the review, we find that algorithmic dehumanization is particularly problematic for human resource management (...)
    Download  
     
    Export citation  
     
    Bookmark  
  • Toward children-centric AI: a case for a growth model in children-AI interactions.Karolina La Fors - 2024 - AI and Society 39 (3):1303-1315.
    This article advocates for a hermeneutic model for children-AI (age group 7–11 years) interactions in which the desirable purpose of children’s interaction with artificial intelligence (AI) systems is children's growth. The article perceives AI systems with machine-learning components as having a recursive element when interacting with children. They can learn from an encounter with children and incorporate data from interaction, not only from prior programming. Given the purpose of growth and this recursive element of AI, the article argues for distinguishing (...)
    Download  
     
    Export citation  
     
    Bookmark