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.
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