e-space
Manchester Metropolitan University's Research Repository

    Signs of the Time: Making AI Legible

    Lindley, Joseph Galen ORCID logoORCID: https://orcid.org/0000-0002-5527-3028, Coulton, Paul ORCID logoORCID: https://orcid.org/0000-0001-5938-4393, Akmal, Haider Ali ORCID logoORCID: https://orcid.org/0000-0001-9578-3578 and Pilling, Franziska Louise ORCID logoORCID: https://orcid.org/0000-0001-5324-0575 (2020) Signs of the Time: Making AI Legible. In: Design Research Society Conference 2020, 11 August 2020 - 14 August 2020, Online (originally planned for in person at Brisbane, Australia).

    [img]
    Preview
    Published Version
    Available under License Creative Commons Attribution Non-commercial.

    Download (2MB) | Preview

    Abstract

    Artificial Intelligence (AI) is becoming widespread. There are many benefits associated with AI, but it’s adoption brings challenges relating to fairness, bias, and transparency. Such issues are particularly hard to address because conventions that highlight when an AI is present, how it works, and the consequences of using are not yet established: AI has a legibility problem. Design-led research can play a key role in exploring this challenge. Applying Research through Design (RtD) this paper explores AI legibility in three ways: (1) explaining why it makes sense to address AI legibility with design; (2) the presentation of prototypical icons designed to enhance AI legibility; (3) experimenting with how the icons may be used in the context of signage relating to potential applications of AI. Via these three lenses the paper argues that design’s role in improving AI legibility is critical.

    Impact and Reach

    Statistics

    Activity Overview
    6 month trend
    30Downloads
    6 month trend
    16Hits

    Additional statistics for this dataset are available via IRStats2.

    Altmetric

    Repository staff only

    Edit record Edit record