  Should we be concerned by the massive use of devices and algorithms which
automatically handle an increasing number of everyday activities within our
societies? The paper makes a short overview of the scientific investigation
around this topic, showing that the development, existence and use of such
autonomous artifacts is much older than the recent interest in machine learning
monopolised artificial intelligence. We then categorise the impact of using
such artifacts to the whole process of data collection, structuring,
manipulation as well as in recommendation and decision making. The suggested
framework allows to identify a number of challenges for the whole community of
decision analysts, both researchers and practitioners.
