Suppetia Ex Machina: How can AI Technologies Aid Financial Decision-Making of People with Low Socioeconomic Status?

Christian Truelsen Elbæk; Ifeatu Uzodinma; Zilia Ismagilova; Panagiotis Mitkidis

Suppetia Ex Machina: How can AI Technologies Aid Financial Decision-Making of People with Low Socioeconomic Status?

Christian Truelsen Elbæk^*, Ifeatu Uzodinma, Zilia Ismagilova, Panagiotis Mitkidis

^*Corresponding author af dette arbejde

Institut for Virksomhedsledelse

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avis › Tidsskriftartikel › Forskning › peer review

Abstract

In this conceptual paper, we outline how individuals with low socioeconomic status are more vulnerable to making choices that undermine their welfare in economic decision environments that require an acceptable comprehension of risk. We propose that novel technologies, specifically Artificial Intelligence, can aid in improving financial decision-making for individuals with low risk awareness, and we suggest avenues where policy can leverage emerging Artificial Intelligence technologies to design specific choice architecture that may support more risk-aware decision-making of vulnerable socioeconomic groups. Lastly, we discuss the ethics of utilizing nudges in vulnerable populations, the limitations of our approach, and how our paper can pave way for future research to improve decision-making for socioeconomically vulnerable individuals.

Originalsprog	Engelsk
Tidsskrift	Journal of Behavioral Economics for Policy
Vol/bind	6
Nummer	S1
Sider (fra-til)	49-57
ISSN	2572-8997
Status	Udgivet - 2022

Adgang til dokumentet

https://sabeconomics.org/wordpress/wp-content/uploads/JBEP-6-S1-4.pdf

Citationsformater

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title = "Suppetia Ex Machina: How can AI Technologies Aid Financial Decision-Making of People with Low Socioeconomic Status?",

abstract = "In this conceptual paper, we outline how individuals with low socioeconomic status are more vulnerable to making choices that undermine their welfare in economic decision environments that require an acceptable comprehension of risk. We propose that novel technologies, specifically Artificial Intelligence, can aid in improving financial decision-making for individuals with low risk awareness, and we suggest avenues where policy can leverage emerging Artificial Intelligence technologies to design specific choice architecture that may support more risk-aware decision-making of vulnerable socioeconomic groups. Lastly, we discuss the ethics of utilizing nudges in vulnerable populations, the limitations of our approach, and how our paper can pave way for future research to improve decision-making for socioeconomically vulnerable individuals.",

author = "Elb{\ae}k, {Christian Truelsen} and Ifeatu Uzodinma and Zilia Ismagilova and Panagiotis Mitkidis",

year = "2022",

language = "English",

volume = "6",

pages = "49--57",

journal = "Journal of Behavioral Economics for Policy",

issn = "2572-8997",

number = "S1",

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Suppetia Ex Machina: How can AI Technologies Aid Financial Decision-Making of People with Low Socioeconomic Status? / Elbæk, Christian Truelsen; Uzodinma, Ifeatu; Ismagilova, Zilia et al.
I: Journal of Behavioral Economics for Policy, Bind 6, Nr. S1, 2022, s. 49-57.

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avis › Tidsskriftartikel › Forskning › peer review