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Bachelor thesis . 2019
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Bachelor 2019

Authors: Ulstad, Mari Mobæk; Larsen, Charlotte;
Abstract

Hensikten med vår oppgave er å undersøke hvordan moralsk ansvar oppfattes i en situasjon der kunstig intelligens blir benyttet. Vi vil først ta for oss relevante teorier og forskning rundt temaene kunstig intelligens og moralsk ansvar. Disse fører til vår problemstilling “hvordan oppfattes moralsk ansvar når en kunstig intelligens gjør feil i kirurgi”. Deretter presenteres hypotesene vi vil bruke for å belyse problemstillingen. Hypotesene tar for seg moralsk ansvar, kritikkverdighet, straff, sinne og erstatningsansvar. Vi har benyttet kvantitativ metode, og utført et eksperiment for å vise forskjellen mellom våre to grupper. Alle respondentene leste om en kirurgirobot som kunne utføre operasjoner med mindre risiko enn en menneskelig kirurg. Begge grupper leser deretter at roboten utfører en fatal feil på pasienten. Respondentene ble så randomisert i to grupper og presentert med forskjellige situasjoner. Den ene gruppen fikk lese om en kirurg som kunne velge mellom å utføre inngrepet selv, men valgte roboten. Den andre gruppen fikk lese om at kirurgen ikke kunne velge, da sykehuset krevde at roboten skulle utføre det. Deretter ble det stilt en rekke spørsmål om situasjonen. Fra våre analyser kommer det frem at kirurgen får tildelt mer moralsk ansvar i gruppen der han kunne velge å utføre operasjonen selv. Svarene fra undersøkelsen blir analysert for å gi oss større innsikt i dataene. Dette brukes videre i diskusjonen der vi går dypere inn i hvordan resultatene reelt kan påvirke samfunnet og arbeidsplasser i fremtiden.

Bacheloroppgave i Human Resource Management fra Handelshøyskolen BI, 2019

Country
Norway
Related Organizations
Keywords

human resource management, HRM

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green