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Guidelines for Practicing Responsible Innovation in HPC: A Sociotechnical Approach

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Distributed, Ambient and Pervasive Interactions (HCII 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14036))

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Abstract

While significant investments have been made in the exploration of ethics in computation, recent advances in high performance computing (HPC) and artificial intelligence (AI) have reignited a discussion for more responsible and ethical computing with respect to the design and development of pervasive sociotechnical systems within the context of existing and evolving societal norms and cultures. The ubiquity of HPC in everyday life presents complex sociotechnical challenges for all who seek to practice responsible computing and ethical technological innovation. The present paper provides guidelines which scientists, researchers, educators, and practitioners alike, can employ to become more aware of one’s personal values system that may unconsciously shape one’s approach to computation and ethics.

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Acknowledgements

This article has been authored by an employee of National Technology and Engineering Solutions of Sandia, LLC under Contract No. DE-NA0003525 with the U.S. Department of Energy (DOE). The employee owns all right, title and interest in and to the article and is solely responsible for its contents. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this article or allow others to do so, for United States Government purposes. The DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan https://www.energy.gov/downloads/doe-public-access-plan.

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Correspondence to Elaine M. Raybourn .

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Raybourn, E.M., Muollo, K. (2023). Guidelines for Practicing Responsible Innovation in HPC: A Sociotechnical Approach. In: Streitz, N.A., Konomi, S. (eds) Distributed, Ambient and Pervasive Interactions. HCII 2023. Lecture Notes in Computer Science, vol 14036. Springer, Cham. https://doi.org/10.1007/978-3-031-34668-2_8

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  • DOI: https://doi.org/10.1007/978-3-031-34668-2_8

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