THE ROLE OF ETHICAL AND TRUSTWORTHY AI TEAMMATES IN ENHANCING TEAM PERFORMANCE: A SYSTEMATIC LITERATURE REVIEW Available to Purchase

This systematic literature review (SLR) examined the influence of ethical and reliable AI teammates on improving team performance in Human-AI teams (HAITs). The review synthesized 37 peer-reviewed papers to investigate how transparency, explainable AI (XAI), and ethics cultivate trust, an essential component for effective human-AI collaboration. Ethical AI teammates enhance team dynamics by mitigating uncertainty, guaranteeing equity, and fostering transparency in decision-making. Nonetheless, significant challenges exist in trusting AI teammates due to obstacles such as the “black box” nature of AI teammate representing the lack of transparency and trust violations. Trust restoration methods, such as explanations and trusting AI teammates with caution, are crucial for reinstating trust following breaches. The study concluded by highlighting the implications for enhancing team performance through ethical and trustworthy AI teammates, adding to the existing literature on human-AI collaboration.