Year: 2025
Type: conference-paper
Abstract: While the integration of artificial intelligence (AI) into marketing practices can improve efficiency and personalization, there are concerns about inherent biases that might produce unfair outcomes. Inherent biases refer to systematic, unintended preferences or exclusions embedded within AI algorithms, often originating from training data or design choices. Through qualitative interviews, this study examines how marketing professionals manage AI bias, offering actionable recommendations and best practices. Initial findings indicate a spectrum of attitudes towards AI bias in marketing, ranging from proactive engagement with the issue to avoidance.
Authors: Caterina Fox, Gabriele Schuster
Institution: IU International University of Applied Sciences
Language: English
Subfield: Safety Research
Field: Social Sciences
Domain: Social Sciences
SDG: Reduced inequalities
Open Access status: hybrid
OpenAlex ID: W4409306473