  Algorithms have been becoming increasingly relevant for various
decision-making processes in the forms of Decision Support Systems or
Decision-making systems in areas such as Criminal-Justice systems, Job
Application Filtering, Medicine, and Healthcare to name a few. It is crucial
for these algorithms to be fair and for the users to have confidence in these
decisions, especially in the above contexts, because they have a high impact on
society. We conduct an online empirical study with 61 participants to find out
how the change in transparency and reliability of an algorithm which determines
the probability of lesions being melanoma could impact users' decision-making
process, as well as the confidence in the decisions made by the algorithm. The
results indicate that people show at least moderate confidence in the decisions
of the algorithm even when the reliability is bad. However, they would not
blindly follow the algorithm's wrong decisions.
