  Transparency is often deemed critical to enable effective real-world
deployment of intelligent systems. Yet the motivations for and benefits of
different types of transparency can vary significantly depending on context,
and objective measurement criteria are difficult to identify. We provide a
brief survey, suggesting challenges and related concerns. We highlight and
review settings where transparency may cause harm, discussing connections
across privacy, multi-agent game theory, economics, fairness and trust.
