Switch to: References

Add citations

You must login to add citations.
  1. Word vector embeddings hold social ontological relations capable of reflecting meaningful fairness assessments.Ahmed Izzidien - 2021 - AI and Society (March 2021):1-20.
    Programming artificial intelligence to make fairness assessments of texts through top-down rules, bottom-up training, or hybrid approaches, has presented the challenge of defining cross-cultural fairness. In this paper a simple method is presented which uses vectors to discover if a verb is unfair or fair. It uses already existing relational social ontologies inherent in Word Embeddings and thus requires no training. The plausibility of the approach rests on two premises. That individuals consider fair acts those that they would be willing (...)
    Download  
    Translate
     
     
    Export citation  
     
    Bookmark  
  • Editorial: Shaping Ethical Futures in Brain-Based and Artificial Intelligence Research.Elisabeth Hildt, Kelly Laas & Monika Sziron - 2020 - Science and Engineering Ethics 26 (5):2371-2379.
    Download  
     
    Export citation  
     
    Bookmark