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Human-Centric Artificial Intelligence: The Road Ahead

Title data

Kühl, Niklas:
Human-Centric Artificial Intelligence: The Road Ahead.
In: transfer : Zeitschrift für Kommunikation und Markenmanagement. Vol. 70 (2024) Issue 4 . - pp. 6-9.
ISSN 1436-798X

Official URL: Volltext

Abstract in another language

This editorial explores the critical role of Human-centric Artificial Intelligence in marketing, emphasizing the importance of explainable AI, fairness, and human’s appropriate reliance on AI systems. It highlights the growing gap between AI’s technical advancements and their impact on human behavior, stressing the need for transparent and equitable AI solutions that enable stakeholders to reflect on AI’s recommendations critically.

Further data

Item Type: Article in a journal
Refereed: No
Keywords: human-centric; Artificial Intelligence; explainable Artificial Intelligence;
AI fairness; appropriate reliance
Institutions of the University: Faculties
Faculties > Faculty of Law, Business and Economics
Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Informatics and Human-Centered Artificial Intelligence
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Informatics and Human-Centered Artificial Intelligence > Chair Business Informatics and Human-Centered Artificial Intelligence - Univ.-Prof. Dr.-Ing. Niklas Kühl
Research Institutions
Research Institutions > Central research institutes > Research Center for AI in Science and Society
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > FIM Research Center for Information Management
Research Institutions > Central research institutes
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 15 Jan 2025 07:52
Last Modified: 06 Nov 2025 09:37
URI: https://eref.uni-bayreuth.de/id/eprint/91586