Webinars
MSI Webinar: The AI-usage conundrum: What you need to know to protect your brand, your customers, and your employees from AI reliance
Discover why revealing your reliance on AI can undermine trust in your brand—and why simple fixes like reframing your disclosure or making it mandatory won’t solve the problem. In this talk, we will explore new research showing how AI disclosure raises doubts about your legitimacy and can overshadow both your brand’s authenticity and your employees’ contributions. You will learn why the effect isn’t just “algorithm aversion,” but a powerful trigger that sparks skepticism—particularly when AI usage is exposed by others rather than self-disclosed. Even when people have positive attitudes toward AI or see it as highly accurate, that trust erosion does not fully go away. Join us to examine the AI-usage conundrum and the AI-disclosure effect and learn how to protect your reputation, safeguard customer relationships, and support your employees while navigating the complexities of AI implementation.
speaker
Martin Reimann is the McClelland Associate Professor of Marketing at Eller College of Management and associate professor in the Department of Psychology, the College of Veterinary Medicine, and the Cognitive Science Graduate Interdisciplinary Program. He is also affiliated with Stanford University and EGADE Business School as a visiting scholar. His research utilizes functional neuroimaging, behavioral experiments, and machine-learning methods to explore emotional-motivational aspects of consumer behavior, including the acquisition of aesthetic goods and beloved brands, the evaluation of consumer experiences, as well as the dynamics of social relations with humans, products, pets, and AIs. His work on emotional-motivational states predicting consumer behavior spans from the study of trust, desire, hope, pride, and love to curiosity, anger, pain, guilt, and shame. He holds two United States patents and has authored over 40 peer-reviewed articles in marketing and psychology, including in Annual Review, PNAS, Journal of Experimental Psychology: General, Journal of Experimental Psychology: Applied, Journal of Consumer Research, Journal of Consumer Psychology, Journal of Marketing Research, and Journal of the Association for Consumer Research. His work has been supported by DARPA, Google, the Marketing Science Institute, the National Endowment for the Arts, and the National Science Foundation. Martin Reimann has been recognized as an MSI Scholar and received the American Marketing Association’s Rising Star Award, the Society for Consumer Psychology’s Young Contributor Award, and the Society for Personality and Social Psychology’s International Social Cognition Best Paper of the Year Award. His research has gained attention in the media, with features in Scientific American and Fast Company, as well as on networks such as NPR and the BBC. He holds a Ph.D. in psychology from the University of Southern California and advanced degrees in marketing from TU Freiberg and HHL in Germany.