  Humans are increasingly coming into contact with artificial intelligence and
machine learning systems. Human-centered artificial intelligence is a
perspective on AI and ML that algorithms must be designed with awareness that
they are part of a larger system consisting of humans. We lay forth an argument
that human-centered artificial intelligence can be broken down into two
aspects: (1) AI systems that understand humans from a sociocultural
perspective, and (2) AI systems that help humans understand them. We further
argue that issues of social responsibility such as fairness, accountability,
interpretability, and transparency.
