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AI-based Financial Advice : an Ethical Discourse on AI-based Financial Advice and Ethical Reflection Framework

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Brüggen, Lisa ; Gianni, Robert ; Haan, Floris de ; Hogreve, Jens ; Meacham, Darian ; Post, Thomas ; van der Werf, Minou:
AI-based Financial Advice : an Ethical Discourse on AI-based Financial Advice and Ethical Reflection Framework.
In: Journal of public policy & marketing / published in association with American Marketing Association. (20. November 2024).
ISSN 1547-7207 ; 0743-9156

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Volltext Link zum Volltext (externe URL):
https://doi.org/10.1177/07439156241302279

Kurzfassung/Abstract

This article presents a first step in identifying the ethical issues of AI-based financial advice. Consumers must navigate an ever more complex array of financial decisions. (Generative) AI-based financial advice may increase access to and acceptance of financial advice and strengthen consumers’ financial well-being. However, significant ethical challenges exist in designing, developing, and deploying AI-based financial advice. To analyze the perils and pitfalls of AI-based financial advice, we develop a definition of what constitutes good AI-based financial advice and provide a first assessment of ethical challenges related to AI-based financial advice. The iterative multi-stakeholder approach, including workshops and semi-structured interviews with consumers and experts, results in an ethical discourse structured around the four fundamental values of the European Commission’s Ethics Guidelines for Trustworthy AI, human autonomy, explicability, fairness, prevention of harm, and trust as the overall objectives. Based on our analyses, we derive a simple yet comprehensive AI Ethics Framework for Financial Advice (AIFA). The AIFA reflection framework guides public policymakers, managers of financial service providers, and technology developers in incorporating ethical discourse in developing and deploying (generative) AI-based financial advice.

Weitere Angaben

Publikationsform:Artikel
Sprache des Eintrags:Englisch
Institutionen der Universität:Wirtschaftswissenschaftliche Fakultät > Betriebswirtschaftslehre > ABWL und Dienstleistungsmanagement
DOI / URN / ID:10.1177/07439156241302279
Peer-Review-Journal:Ja
Verlag:American Marketing Association
Die Zeitschrift ist nachgewiesen in:
Titel an der KU entstanden:Ja
KU.edoc-ID:34590
Eingestellt am: 13. Feb 2025 10:03
Letzte Änderung: 13. Feb 2025 10:03
URL zu dieser Anzeige: https://edoc.ku.de/id/eprint/34590/
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