Ultimatum bargaining: Algorithms vs. Humans

Ali I. Ozkes; Nobuyuki Hanaki; Dieter Vanderelst; Jurgen Willems

doi:10.1016/j.econlet.2024.111979

Ultimatum bargaining: Algorithms vs. Humans

Ali I. Ozkes^*
, Nobuyuki Hanaki
, Dieter Vanderelst
, Jurgen Willems

^*Korrespondierende*r Autor*in für diese Arbeit

Public Management und Governance

Publikation: Wissenschaftliche Fachzeitschrift › Originalbeitrag in Fachzeitschrift › Begutachtung

Abstract

We study human behavior in ultimatum game when interacting with either human or algorithmic opponents. We examine how the type of the AI algorithm (mimicking human behavior, optimising gains, or providing no explanation) and the presence of a human beneficiary affect sending and accepting behaviors. Our experimental data reveal that subjects generally do not differentiate between human and algorithmic opponents, between different algorithms, and between an explained and unexplained algorithm. However, they are more willing to forgo higher payoffs when the algorithm’s earnings benefit a human.

Originalsprache	Englisch
Aufsatznummer	111979
Fachzeitschrift	Economics Letters
Jahrgang	244
DOIs	https://doi.org/10.1016/j.econlet.2024.111979
Publikationsstatus	Veröffentlicht - Nov. 2024

Zugriff auf Dokument

10.1016/j.econlet.2024.111979Lizenz: CC BY

1 Zitationen
2 Originalbeitrag in Fachzeitschrift
1 Beitrag in Konferenzband

Virtual Assistants Are Unlikely to Reduce Patient Non-Disclosure
Jorgenson, C., Ozkes, A. I., Willems, J. & Vanderelst, D., 16 Okt. 2024, Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) : October 21-23, 2024, San Jose, California. AAAI / ACM, S. 659-669
Publikation: Beitrag in Buch/Konferenzband › Beitrag in Konferenzband

Open Access
AI-driven public services and the privacy paradox: do citizens really care about their privacy?
Willems, J., Schmid, M., Vanderelst, D., Vogel, D. & Ebinger, F., 2022, in: Public Management Review.
Publikation: Wissenschaftliche Fachzeitschrift › Originalbeitrag in Fachzeitschrift › Begutachtung

Open Access
Are Robots to be Created in Our Own Image? Testing the Ethical Equivalence of Robots and Humans
Vanderelst, D., Jorgenson, C., Ozkes, A. I. & Willems, J., 17 Dez. 2022, in: International Journal of Social Robotics. 15, S. 85–99
Publikation: Wissenschaftliche Fachzeitschrift › Originalbeitrag in Fachzeitschrift › Begutachtung

EPURAI: ETHICS OF PUBLIC ROBOTS AND AI - second workshop 2023
Willems, J. (Organisator*in), Ozkes, A. (Organisator*in) & Vanderelst, D. (Organisator*in)
23 Nov. 2023 → 24 Nov. 2023
Aktivität: Veranstaltung: Teilnahme oder Organisation › Organisation Konferenz, Workshop, Tagung
EPURAI: ETHICS OF PUBLIC ROBOTS AND AI
Willems, J. (Organisator*in), Vanderelst, D. (Organisator*in) & Ozkes, A. (Organisator*in)
14 Sept. 2022 → 15 Sept. 2022
Aktivität: Veranstaltung: Teilnahme oder Organisation › Organisation Konferenz, Workshop, Tagung

Zitat

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AB - We study human behavior in ultimatum game when interacting with either human or algorithmic opponents. We examine how the type of the AI algorithm (mimicking human behavior, optimising gains, or providing no explanation) and the presence of a human beneficiary affect sending and accepting behaviors. Our experimental data reveal that subjects generally do not differentiate between human and algorithmic opponents, between different algorithms, and between an explained and unexplained algorithm. However, they are more willing to forgo higher payoffs when the algorithm’s earnings benefit a human.

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Ultimatum bargaining: Algorithms vs. Humans

Abstract

Zugriff auf Dokument

Publikationen

Virtual Assistants Are Unlikely to Reduce Patient Non-Disclosure

AI-driven public services and the privacy paradox: do citizens really care about their privacy?

Are Robots to be Created in Our Own Image? Testing the Ethical Equivalence of Robots and Humans

Aktivitäten

EPURAI: ETHICS OF PUBLIC ROBOTS AND AI - second workshop 2023

EPURAI: ETHICS OF PUBLIC ROBOTS AND AI

Zitat