  This paper discussed the {\it robust alignment} problem, that is, the problem
of aligning the goals of algorithms with human preferences. It presented a
general roadmap to tackle this issue. Interestingly, this roadmap identifies 5
critical steps, as well as many relevant aspects of these 5 steps. In other
words, we have presented a large number of hopefully more tractable subproblems
that readers are highly encouraged to tackle. Hopefully, this combination
allows to better highlight the most pressing problems, how every expertise can
be best used to, and how combining the solutions to subproblems might add up to
solve robust alignment.
