  Human perception, memory and decision-making are impacted by tens of
cognitive biases and heuristics that influence our actions and decisions.
Despite the pervasiveness of such biases, they are generally not leveraged by
today's Artificial Intelligence (AI) systems that model human behavior and
interact with humans. In this theoretical paper, we claim that the future of
human-machine collaboration will entail the development of AI systems that
model, understand and possibly replicate human cognitive biases. We propose the
need for a research agenda on the interplay between human cognitive biases and
Artificial Intelligence. We categorize existing cognitive biases from the
perspective of AI systems, identify three broad areas of interest and outline
research directions for the design of AI systems that have a better
understanding of our own biases.
