Abstract
The scaled deployment of semi- and fully autonomous systems undeniably depends on assured autonomy. This reality, however, has become far more complex than expected because it necessarily demands an integrated tripartite solution not yet achieved: consensus-based standards and compliance across industry, scientific innovation within artificial intelligence R&D of explainability, and robust end-user education. In this is paper I present my human-centered approach to the design, development, and deployment of autonomous systems and break down how human factors such as cognitive and behavioral insights into how we think, feel, act, plan, make decisions, and problem-solve are foundational to assuring autonomy.
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Acknowledgements
Thanks to Dr. I. Gonzalez for her insightful comments and to the Institute for Human Intelligence for providing the required resources for this research.
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López-González, M. (2021). Applying Human Cognition to Assured Autonomy. In: Stephanidis, C., et al. HCI International 2021 - Late Breaking Papers: Multimodality, eXtended Reality, and Artificial Intelligence. HCII 2021. Lecture Notes in Computer Science(), vol 13095. Springer, Cham. https://doi.org/10.1007/978-3-030-90963-5_36
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