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Human-Centered Artificial Intelligence and Machine Learning

Artificial Intelligence 2019-02-01 v1

Abstract

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.

Keywords

Cite

@article{arxiv.1901.11184,
  title  = {Human-Centered Artificial Intelligence and Machine Learning},
  author = {Mark O. Riedl},
  journal= {arXiv preprint arXiv:1901.11184},
  year   = {2019}
}

Comments

Human Behavior and Emerging Technologies, volume 1