Erlei, A.; Das, R.; Meub, L.; Anand, A.; Gadiraju, U.: For What It's Worth: Humans Overwrite Their Economic Self-interest to Avoid Bargaining With AI Systems. In: Barbosa, S.; Lampe, C.; Appert, C.; Shamma, D.A.; Drucker, S.; Williamson, J.; Yatani, K. (Eds.): CHI Conference on Human Factors in Computing Systems. New York,NY,United States : Association for Computing Machinery, 2022 (ACM Digital Library), 113. DOI:
https://doi.org/10.1145/3491102.3517734
Zusammenfassung: |
As algorithms are increasingly augmenting and substituting human decision-making, understanding how the introduction of computational agents changes the fundamentals of human behavior becomes vital. This pertains to not only users, but also those parties who face the consequences of an algorithmic decision. In a controlled experiment with 480 participants, we exploit an extended version of two-player ultimatum bargaining where responders choose to bargain with either another human, another human with an AI decision aid or an autonomous AI-system acting on behalf of a passive human proposer. Our results show strong responder preferences against the algorithm, as most responders opt for a human opponent and demand higher compensation to reach a contract with autonomous agents. To map these preferences to economic expectations, we elicit incentivized subject beliefs about their opponent's behavior. The majority of responders maximize their expected value when this is line with approaching the human proposer. In contrast, responders predicting income maximization for the autonomous AI-system overwhelmingly override economic self-interest to avoid the algorithm.
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Lizenzbestimmungen: |
CC BY 4.0 Unported - https://creativecommons.org/licenses/by/4.0/
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Publikationstyp: |
BookPart |
Publikationsstatus: |
publishedVersion |
Erstveröffentlichung: |
2022 |
Schlagwörter (englisch): |
AI system, Decision Support System, Human-AI Interaction, Market Interaction, Online Experiment, Ultimatum Bargaining
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Fachliche Zuordnung (DDC): |
004 | Informatik
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Kontrollierte Schlagwörter: |
Konferenzschrift
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