TITLE:
Systematic Reviews: Exploring Consumer Acceptance of AI
AUTHORS:
Ryan Yu
KEYWORDS:
Artificial Intelligence (AI), Algorithm Aversion, Consumer Trust, AI Decision-Making, Personalization in AI, AI Bias, Explainable AI (XAI), Human-AI Interaction, AI in Healthcare, AI Recommendations, Consumer Resistance to AI, Anthropomorphism In AI, Affective Computing, AI Acceptance Strategies, Transparent AI Systems, Fairness in AI, AI and Emotional Decision-Making, AI in Everyday Life, AI Perception, Trust-Building in AI
JOURNAL NAME:
Open Journal of Business and Management,
Vol.13 No.2,
February
13,
2025
ABSTRACT: This paper explores the factors influencing consumer acceptance and resistance to artificial intelligence (AI) technologies. It examines AI’s role in decision-making across industries such as personalized recommendations, healthcare, and finance, while highlighting the mixed consumer responses influenced by optimism, pessimism, and misconceptions. Notably, “algorithm aversion” emerges as a significant barrier, where consumers prefer human judgment despite AI’s superior accuracy due to concerns about personal nuances and error-learning limitations. This review outlines strategies to enhance AI acceptance, including consumer education, personalized outputs, and anthropomorphism, while acknowledging associated risks. The paper concludes by emphasizing the importance of aligning AI design with consumer relationship norms and ethical considerations to foster trust and adoption.