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Artificially Intelligent Black Boxes in Emergency Medicine: An Ethical Analysis
Umeå University, Faculty of Social Sciences, Department of Psychology.
2019 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [sv]

Det blir allt vanligare att föreslå att icke-transparant artificiell intelligens, s.k. black boxes, används inom akutmedicinen. I denna uppsats används etisk analys för att härleda sju riktlinjer för utveckling och användning av black boxes i akutmedicin. Analysen är grundad på sju variationer av ett tankeexperiment som involverar en läkare, en black box och en patient med bröstsmärta på en akutavdelning. Grundläggande begrepp, inklusive artificiell intelligens, black boxes, metoder för transparens, akutmedicin och etisk analys behandlas detaljerat. Tre viktiga områden av etisk vikt identifieras: samtycke; kultur, agentskap och privatliv; och skyldigheter. Dessa områden ger upphov till de sju variationerna. För varje variation urskiljs en viktig etisk fråga som identifieras och analyseras. En riktlinje formuleras och dess etiska rimlighet testas utifrån konsekventialistiska och deontologiska metoder. Tillämpningen av riktlinjerna på medicin i allmänhet, och angelägenheten av fortsatt etiska analys av black boxes och artificiell intelligens inom akutmedicin klargörs.

Abstract [en]

Artificially intelligent black boxes are increasingly being proposed for emergency medicine settings; this paper uses ethical analysis to develop seven practical guidelines for emergency medicine black box creation and use. The analysis is built around seven variations of a thought experiment involving a doctor, a black box, and a patient presenting chest pain in an emergency department. Foundational concepts, including artificial intelligence, black boxes, transparency methods, emergency medicine, and ethical analysis are expanded upon. Three major areas of ethical concern are identified, namely consent; culture, agency, and privacy; and fault. These areas give rise to the seven variations. For each, a key ethical question it illustrates is identified and analyzed. A practical guideline is then stated, and its ethical acceptability tested using consequentialist and deontological approaches. The applicability of the guidelines to medicine more generally, and the urgency of continued ethical analysis of black box artificial intelligence in emergency medicine, are clarified.

Place, publisher, year, edition, pages
2019. , p. 54
Keywords [en]
artificial intelligence, black boxes, emergency medicine, bioethics, medical ethics, ethical guidelines
Keywords [sv]
artificiell intelligens, black box, akutmedicin, bioetik, medicinsk etik, etiska riktlinjer
National Category
Medical Ethics Computer Sciences Psychology
Identifiers
URN: urn:nbn:se:umu:diva-160696OAI: oai:DiVA.org:umu-160696DiVA, id: diva2:1328364
Subject / course
Masteruppsats i kognitionsvetenskap
Educational program
Master's Programme in Cognitive Science
Presentation
2019-06-03, Beteendevetarhuset C-104, Mediagränd 14, Umeå, 15:15 (English)
Supervisors
Examiners
Available from: 2019-06-24 Created: 2019-06-20 Last updated: 2019-06-24Bibliographically approved

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CiteExportLink to record
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