Considerations in artificial intelligence-based marketing: An ethical perspective

Abstract

The growing use of artificial intelligence (AI) in marketing poses several ethical concerns. Marketers must ensure the secure and productive application of customer data when using artificial intelligence. Moreover, despite its supposed impartiality, they must acknowledge the probability of partiality within AI. To ensure ethical practice, engineers and marketers should take measures such as respecting consumer privacy, verifying data accuracy and preventing algorithmic bias. Numerous kinds of research have demonstrated biases in facial recognition applications of artificial intelligence and machine learning. This has sparked intense study into the subject of fairness in machine learning and to promote algorithms some toolkits have been created to reduce biases and understand black box models. This study addresses ethical issues in the application of artificial intelligence in marketing and provides an overview of fairness concepts, methodologies and tools as they apply to marketing activities.