2020/06/21 by Michele Loi, Loi, Michele, van der Plas, Lonneke
Decision Sciences · #62P25 #Artificial Intelligence (cs.AI) #Big Data Technologies and Applications #FOS: Computer and information sciences #Forecasting Techniques and Applications #I.2.0 #K.4.2 #K.7.4 #Leadership, Behavior, and Decision-Making Studies
paper · pdf · doi:10.48550/arxiv.2006.11814
openalex publication_date 2020/06/21 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
With this paper, we aim to put an issue on the agenda of AI ethics that in our view is overlooked in the current discourse. The current discussions are dominated by topics suchas trustworthiness and bias, whereas the issue we like to focuson is counter to the debate on trustworthiness. We fear that the overuse of currently dominant AI systems that are driven by short-term objectives and optimized for avoiding error leads to a society that loses its diversity and flexibility needed for true progress. We couch our concerns in the discourse around the term anti-fragility and show with some examples what threats current methods used for decision making pose for society.