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Designing for intelligence: User-centred design in the age of algorithms

Published: 01 April 2019 Publication History

Abstract

Ethical concerns with algorithms, machine learning (ML) and artificial intelligence techniques have become a part of design and research work when building interactive systems. This article proposes that designers working with algorithms can benefit from adopting ideas and practices from current discussion on human-centred or ethical design. The suggested ideas and practices build on existing work in humancomputer interaction, contemporary publications by companies and research institutions and practitioner recommendations. They point to ways in which practitioners can build awareness on the complex ethical questions around ML and AI; set ethical goals along with business performance goals for their products; and make ethical design techniques part of their everyday design practice.

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Cited By

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  • (2024) Our Heritage, Our Stories : developing AI tools to link and support community-generated digital cultural heritage Journal of Documentation10.1108/JD-03-2024-0057Online publication date: 4-Jun-2024
  • (2023)Technology readiness and the organizational journey towards AI adoption: An empirical studyInternational Journal of Information Management10.1016/j.ijinfomgt.2022.10258868(102588)Online publication date: Feb-2023
  • (2022)Cognitive Strategy PromptsProceedings of the 14th Conference on Creativity and Cognition10.1145/3527927.3532808(29-37)Online publication date: 20-Jun-2022
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    cover image ACM Other conferences
    CHIuXiD'19: Proceedings of the 5th International ACM In-Cooperation HCI and UX Conference
    April 2019
    205 pages
    ISBN:9781450361873
    DOI:10.1145/3328243
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 01 April 2019

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    Author Tags

    1. Facebook
    2. Google
    3. Spotify
    4. User-centered design
    5. algorithmic bias
    6. artificial intelligence
    7. ethical design
    8. human-centered design
    9. inclusive design
    10. machine learning

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    • Extended-abstract
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    • Refereed limited

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    CHIuXiD'19
    CHIuXiD'19: The 5th International HCI and UX Conference
    April 1 - 9, 2019
    Surabaya, Bali, Jakarta, Indonesia

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    Overall Acceptance Rate 22 of 50 submissions, 44%

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    Cited By

    View all
    • (2024) Our Heritage, Our Stories : developing AI tools to link and support community-generated digital cultural heritage Journal of Documentation10.1108/JD-03-2024-0057Online publication date: 4-Jun-2024
    • (2023)Technology readiness and the organizational journey towards AI adoption: An empirical studyInternational Journal of Information Management10.1016/j.ijinfomgt.2022.10258868(102588)Online publication date: Feb-2023
    • (2022)Cognitive Strategy PromptsProceedings of the 14th Conference on Creativity and Cognition10.1145/3527927.3532808(29-37)Online publication date: 20-Jun-2022
    • (2021)Algorithmic bias: review, synthesis, and future research directionsEuropean Journal of Information Systems10.1080/0960085X.2021.192721231:3(388-409)Online publication date: 6-Jun-2021

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