AI Versus Human Recommendation: Effects on Decision Switch Under Conflict

As artificial intelligence (AI) becomes increasingly integrated in everyday decision-making, understanding how individuals respond to AI versus human advice is critical. The present study examined whether individuals are more likely to revise their initial decisions based on recommendations’ source (AI vs. Human) and stance (Agree vs. Disagree), while holding recommendation content constant. Fifty-nine participants completed eight game scenarios from popular casino games. After each initial choice, participants received a recommendation and were prompted to re-make the same decision. Mixed-effects logistic regression revealed that there is a strong tendency for participants to switch their selection when presented with disagreeing recommendations, regardless of its source. No significant differences were found in switching behaviors between AI and human-disagree conditions, though confidence increased in presence of decision switch when the opposing recommendation came from AI. Future research should explore how individual differences and contextual factors influence adoption of AI advice.