The Quest for Interpretable and Responsible Artificial Intelligence
  Artificial Intelligence (AI) provides many opportunities to improve private
and public life. Discovering patterns and structures in large troves of data in
an automated manner is a core component of data science, and currently drives
applications in computational biology, finance, law and robotics. However, such
a highly positive impact is coupled with significant challenges: How do we
understand the decisions suggested by these systems in order that we can trust
them? How can they be held accountable for those decisions?
  In this short survey, we cover some of the motivations and trends in the area
that attempt to address such questions.
