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  4. "My, my, how can i resist you?" - Examining User Reactions to Bogus Explanations of AI Prediction
 
Zitierlink DOI
10.26092/elib/4245
Verlagslink DOI
https://ceur-ws.org/Vol-3547/paper2.pdf

"My, my, how can i resist you?" - Examining User Reactions to Bogus Explanations of AI Prediction

Veröffentlichungsdatum
2023
Autoren
Spillner, Laura  
Ringe, Rachel  
Porzel, Robert  
Malaka, Rainer  
Zusammenfassung
In human-AI-collaboration tasks, explanations with low faithfulness but high plausibility might be used to invoke unwarranted trust in the AI. We propose the term bogus explanations for these kinds of explanations and compare their effect on participant behavior to that of no explanation, for the task of determining if a Eurovision Song Contest song is a winner or a loser. Our study found that participants tended towards their own intuitive choices. Fewer of the users that were provided with bogus explanations followed the AI’s suggestions and they were more critical of the AI’s performance, but at the same time, they reported that they trusted the AI more than the group without explanations.
Schlagwörter
Explainability

; 

explanations

; 

XAI
Verlag
RWTH Aachen
Institution
Universität Bremen  
Fachbereich
Fachbereich 03: Mathematik/Informatik (FB 03)  
Institute
Digital Media Lab  
Dokumenttyp
Konferenzbeitrag
Zeitschrift/Sammelwerk
EthAIcs 2023 = CEUR Workshop Proceedings, Band 3547
Seitenzahl
15
Zweitveröffentlichung
Ja
Dokumentversion
Published Version
Lizenz
https://creativecommons.org/licenses/by/4.0/
Sprache
Englisch
Dateien
Lade...
Vorschaubild
Name

Spillner et al_Examining User Reactions to Bogus Explanations of AI Prediction_2023_published-version.pdf

Size

1.98 MB

Format

Adobe PDF

Checksum

(MD5):f8fb4f64fe0d1b945daabc53f3f21222

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