Stakeholder-dependent views on biases of human- and machine-based judging systems

Elena Mazurova*, Esko Penttinen, Antti Salovaara

*Tämän työn vastaava kirjoittaja

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference contributionScientificvertaisarvioitu

10 Lataukset (Pure)

Abstrakti

Motivated by recent controversy over biases associated with algorithmic decision-making, we embarked on studying various stakeholders’ perceptions related to potential biases in verdicts from human-based and algorithm-based judging. In an empirical study conducted in the domain of gymnastics judging, we found that, while our informants viewed both human- and AI-based judging systems as being subject to biases (of different types), they were quite welcoming of a shift from human-based judging to machine-based judging. Our findings show that the athletes trusted strongly in unknown, “magic” capabilities of AI, thought to be more objective and impartial. This, in turn, encouraged potential acceptance of new technology. While the gymnasts saw AI-based systems in a positive light, judges demonstrated less favorable perceptions overall and less acceptance of AI technology, expressing concern about possible challenges of AI.
AlkuperäiskieliEnglanti
OtsikkoProceedings of the 54th Hawaii International Conference on System Sciences
Sivut6327-6336
Sivumäärä10
ISBN (elektroninen)978-0-9981331-4-0
TilaJulkaistu - 2021
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaAnnual Hawaii International Conference on System Sciences - Maui, Yhdysvallat
Kesto: 7 tammikuuta 202010 tammikuuta 2020
Konferenssinumero: 53

Conference

ConferenceAnnual Hawaii International Conference on System Sciences
LyhennettäHICSS
MaaYhdysvallat
KaupunkiMaui
Ajanjakso07/01/202010/01/2020

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