Avoiding harm, benefits of interpersonal listening, and social equilibrium adjustment: An applied psychology approach to side effects of organizational interventions

In an era when humility and connection are vital for peace and sustainability, many leaders in business and government fall short by prioritizing their self-interest over ethics. Business schools, as key institutions shaping future leaders, may inadvertently reinforce this imbalance. To shift this lean toward self-interest, we propose a listening-focused pedagogy to cultivate humility and character in business school students. High-quality listening fosters interpersonal connection and promotes complex reasoning. Complex reasoning about oneself and others is a cornerstone of humility, which is central to morality and business ethics. We hypothesized that acquiring listening skills would enhance both high-quality listening and humility. To test this, we conducted a longitudinal quasi-experiment over four academic years (2018–2021) with data from 260 MBA students. Our findings show that the listening-focused course significantly increased students' listening skills and humility compared to control courses. These results demonstrate the course’s potential to have a meaningful influence on the character development of business students. We conclude by discussing theoretical and practical implications for business ethics education, offering our materials to support replication and the broader application of this pedagogy

Conversational artificial intelligence (AI) can be harnessed to provide supportive parasocial interactions that rival or even exceed social support from human interactions. High-quality listening in human conversations fosters social connection that heals interpersonal wounds and lessens loneliness. While AI can furnish advice, listening involves the speakers’ perceptions of positive intention, a quality that AI can only simulate. Can such deep-seated support be provided by AI? This research examined two previously siloed areas of knowledge: the healing capabilities of human interpersonal listening, and the potential for AI to produce parasocial experiences of connection. Three experiments (N = 668) addressed this question through manipulating conversational AI listening to test effects on perceived listening, psychological needs, and state loneliness. We show that when prompted, AI could provide high-quality listening, characterized by careful attention and a positive environment for self-expression. More so, AI’s high-quality listening was perceived as better than participants’ average human interaction (Studies 1–3). Receiving high-quality listening predicted greater relatedness (Study 3) and autonomy (Studies 2 and 3) need satisfaction after participants discussed rejection (Study 2–3), loneliness (Study 3), and isolating attitudes (Study 3). Despite this, we did not observe downstream lessening of loneliness typically observed in human interactions, even for those who were high in trait loneliness (Study 3). These findings clearly contrast with research on human interactions and hint at the potential power, but also the limits, of AI in replicating supportive human interactions.