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BI Open
Bachelor thesis . 2018
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Kunstig intelligens, men ikke kunstig moral?

Authors: Kjenes, Eivind Hundven; Naustdal, Anders;

Kunstig intelligens, men ikke kunstig moral?

Abstract

I oppgaven tar vi for oss menneskets oppfatning av moral, og i hvilken grad vi tilegner en kunstig intelligent programvare evnen til å handle moralsk riktig. Det er gjort særdeles få studier innenfor dette området. For å forstå og forklare mer om emnet, har vi ved hjelp av et teoretisk rammeverk forankret i forskningsarbeid, prøvd å belyse dette temaet i enda større grad. Studier viser at mennesket kan oppleve negative emosjoner i en urettferdig prissetting av en vare grunnet forskjellige årsaker, også på vegne av tredjepart. Ved å se på forskning gjort innen moral, og dens kompleksitet, oppleves det at situasjoner med et langt svakere offer vil bli ensidig sett på som moralsk forkastelig. Det kommer tydelig fram at vi ikke skiller mellom urett gjort av en programvare utstyrt med kunstig intelligens, og den samme handling gjort av et menneske. Forskjellen i variablene blir anerkjent, men ikke nok til at vi kan si at det merker seg tydelig ut. Vår anbefaling til videre studier innen feltet, er å utføre forsøket i en større, internasjonal skala. Dette vil belyse problemstillingen på et mer globalt nivå, og ta høyde for kulturforskjeller og politisk ståsted.

Bacheloroppgave i Human Resource Management fra Handelshøyskolen BI, 2018

Country
Norway
Related Organizations
Keywords

human resource management, HRM

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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