Factors affecting acceptance of ‘thinking’ machines and the implications to workplace safety.

Morrison, B. (Speaker)

    Activity: Talk or presentationPresentation

    Description

    Please provide an abstract or presentation Summary. (approx 300 words) *
    Artificial Intelligence (AI) is changing the way we work. The implementation of Intelligent Decision Support Systems (IDSS), where a machine ‘thinks’ for itself to generate responses to problems, will significantly impact workplaces across a range of industries. To date, there has been no attempt to synthesise workers’ perceptions of AI-driven approaches to decision support, which differ from alternative support systems in several critical ways (e.g., a capacity to learn from errors, a relatively low degree of transparency). Our research aims to better understand workers’ interactions with IDSS and how to ‘design out’ the reasons underlying wrongful rejection, which, in safety-critical situations, may save lives. This presentation focuses on recent findings from a systematic review of the empirical literature, as well as a survey of workers’ experiences, perceptions, and attitudes regarding current and prospective IDSS use. We address two research questions: 1) What is the general consensus from workers regarding the use of IDSS?; and, 2) What are the most important factors when deciding whether to accept advice from an IDSS? The survey data highlight a range of factors considered to be very important to the full exploitation of IDSS technology among a sample of largely prospective users (e.g., historical accuracy, decision risk and impact, ease of understanding, and accountability). Despite an abundance of evidence reporting workers’ aversion toward algorithm-based decision support systems, our review findings suggest that workers hold somewhat more positive views towards AI-driven systems. Critically, our review highlights a paucity of standardised assessments of workers’ interactions with the technology and signals a call to action for human factors and safety researchers. Taken together, these findings yield impressions that may mitigate the potential for safety risks stemming from invalid system rejection.
    Period25 Aug 2021
    Event titleSAFEfest: Health & Safety in a Changing World
    Event typeConference
    Degree of RecognitionNational