The Rise of Artificial Intelligence in Marketing Research: Ethical Considerations and Algorithmic Bias

EasyChair Preprint 13957

Abstract

The rapid advancements in artificial intelligence (AI) have revolutionized the field of marketing research. AI-powered tools and techniques are now widely adopted to gather, analyze, and interpret consumer data, leading to more personalized and effective marketing strategies. However, the increasing reliance on AI in marketing research also raises significant ethical concerns and challenges.

This paper examines the ethical considerations and the potential for algorithmic bias in the use of AI in marketing research. It explores how the opaque nature of AI algorithms, the biases inherent in the training data, and the lack of human oversight can lead to discriminatory and unethical outcomes. The paper discusses the implications of these issues on consumer privacy, autonomy, and fair representation, and how they can undermine the integrity and trustworthiness of marketing insights.

The paper proposes a framework for addressing these ethical concerns, including the importance of transparency, accountability, and the integration of human expertise in the design and deployment of AI-based marketing research. It also highlights the need for regulatory frameworks and industry-wide guidelines to ensure the ethical and responsible use of AI in this domain.

By critically examining the ethical challenges and the potential for algorithmic bias, this paper aims to contribute to the ongoing discourse on the responsible and ethical use of AI in marketing research, ultimately promoting a more equitable and trustworthy approach to consumer insights and decision-making.

Keyphrases: Artificial Intelligence, Marketing, research

@booklet{EasyChair:13957,
  author    = {Axel Egon and Hubert Klaus and Dylan Stilinski},
  title     = {The Rise of Artificial Intelligence in Marketing Research: Ethical Considerations and Algorithmic Bias},
  howpublished = {EasyChair Preprint 13957},
  year      = {EasyChair, 2024}}