Abstract
Overall, companies are relying more and more on algorithmic assistance across industries, from the diagnosis of a disease in the healthcare industry to matchmaking in online dating settings, AI has received considerable attention over the past two decades. However, evidence on consumer reactions to algorithmic recommendations is still mixed. While research on algorithm aversion revealed that individuals have a strong preference for human assistance over algorithmic assistance, recent work provides equal evidence for algorithm appreciation. Our session contributes to the conference by documenting how the use of different conceptualizations related to how AI thinks, learns or proceeds towards justice may drive distinct consumer responses in connection with algorithmic assistance. We believe this session will appeal to a broad ACR audience who are interested in consumer-technology interactions to further contribute foundational research in this continuously expanding field.