Research Ethics in Machine Learning
Résumé
The rapid spread of innovation-based IT practices complicates the
interaction between technological capacity and societal adoption and
reduces the relevance of forecast activities about the consequences of
research. However, this relative unpredictability does not free scientists
of responsibility, but should instead motivate ethical reflection and the
quest for appropriate perspectives and methods. Researchers should be
aware that their work de facto contributes to changing society and
humanity, and the process is not always predictable. Although the
responsibility for this impact should not be borne by them alone, they
too have a share of collective responsibility. Against this background,
the aim of CERNA is to encourage and support researchers in the exercise
of ethical reflection about their work.
This document is addressed to IT researchers, developers, and designers.
Societal issues are listed but not explored in depth. CERNA considers
only scientifically plausible possibilities, avoiding science-fiction scenarios
that might become a source of confusion.
Domaines
Informatique [cs]
Origine : Fichiers produits par l'(les) auteur(s)
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