View year:

  1. Ethical assessments and mitigation strategies for biases in AI-systems used during the COVID-19 pandemic.Alicia De Manuel, Janet Delgado, Parra Jonou Iris, Txetxu Ausín, David Casacuberta, Maite Cruz Piqueras, Ariel Guersenzvaig, Cristian Moyano, David Rodríguez-Arias, Jon Rueda & Angel Puyol - 2023 - Big Data and Society 10 (1).
    The main aim of this article is to reflect on the impact of biases related to artificial intelligence (AI) systems developed to tackle issues arising from the COVID-19 pandemic, with special focus on those developed for triage and risk prediction. A secondary aim is to review assessment tools that have been developed to prevent biases in AI systems. In addition, we provide a conceptual clarification for some terms related to biases in this particular context. We focus mainly on nonracial biases (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  2. The Effectiveness of Embedded Values Analysis Modules in Computer Science Education: An Empirical Study.Matthew Kopec, Meica Magnani, Vance Ricks, Roben Torosyan, John Basl, Nicholas Miklaucic, Felix Muzny, Ronald Sandler, Christo Wilson, Adam Wisniewski-Jensen, Cora Lundgren, Kevin Mills & Mark Wells - 2023 - Big Data and Society 10 (1).
    Embedding ethics modules within computer science courses has become a popular response to the growing recognition that CS programs need to better equip their students to navigate the ethical dimensions of computing technologies like AI, machine learning, and big data analytics. However, the popularity of this approach has outpaced the evidence of its positive outcomes. To help close that gap, this empirical study reports positive results from Northeastern’s program that embeds values analysis modules into CS courses. The resulting data suggest (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
 Previous issues
  
Next issues