A blindspot of AI ethics: anti-fragility in statistical prediction
  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.
