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#1 | Rebuilding Trust in Black-Box Algorithmic Decision-Making: the Case of Medicine

From: 2023-05-17 To:2023-05-17

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  • Thematic Line


    Modern & Contemporary Philosophy

  • Research Group


    Mind, Language & Action

    • 17 May 2023 | 14h30 - 16h00 (Lisbon Time Zone) | Online
     

    rTAIM (Rebuilding Trust in AI Medicine) 
    Monthly Seminars

     

    Seminar #1

    Rebuilding Trust in Black-Box Algorithmic Decision-Making: the Case of Medicine

    Steven S. Gouveia

     

    ONLINE | Link Zoom

     

    Seminar #1: The influence of Artificial Intelligence in Medicine (AIM) is rapidly evolving in today's society. The basic assumption of these technologies is to produce more reliable, accurate, efficient and economical health practices than traditional medicine, based on purely human reasoning. However, most of these technologies are based on complex and multifaceted types of data and content and are therefore technically described as having a “black-box” structure: the healthcare professional will be able to understand the inputs of the system and then the outputs. However, they will never have access to what happens “inside” the system, making the medical process opaque (epistemically) and therefore dangerous (ethically), creating a “trust gap” in the relationship between patients and medical specialists. The purpose of this seminar will be to introduce three possible options to deal with the “trust gap” created by “AI Medicine”:
    (1) Restrict/restrict the development and use of AI Systems in Health so that the gap is not even created;
    (2) Accepting the benefits of black box AI systems and ignoring the consequences, even if this jeopardizes the doctor-patient relationship;
    (3) Create an “Explainable/Transparent” Artificial Intelligence that manages, on the one hand, to maintain the benefits of these technologies without, however, creating a gap of trust in the doctor-patient relationship.
    This ethical analysis will allow the diagnosis and identification of the main relevant aspects that must be considered in the use of an Artificial Intelligence in Medicine.​


    Short bio: Steven S: Gouveia is a Research Fellow at the Mind, Langauge and Action Group, leading a project on the Ethics of Artificial Intelligence in Medicine. More info: stevensgouveia.weebly.com.

     

    rTAIM Seminars: https://ifilosofia.up.pt/activities/rtaim-seminars

     

    Organisation:
    Steven S. Gouveia (MLAG/IF)
    Mind, Language and Action Group (MLAG)
    Instituto de Filosofia da Universidade do Porto – FIL/00502
    Fundação para a Ciência e a Tecnologia (FCT)

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