Leadership is often defined by influence. The ability to guide teams, shape decisions, and drive outcomes. But not all influence is positive. In some cases, leadership can become a source of dysfunction, driven by behaviors that prioritize personal gain over organizational success.
Jack Cook and Jared Cook’s research takes a direct look at that reality.
As recipients of the Best in Track Award for Career & Professional Development, they are being recognized for their paper, “Managing Toxic Leadership and Employee Behavior: AI’s Potential to Curb Dark Triad-Driven Dysfunction.” Their work explores how organizations can better understand and manage some of the most challenging personality dynamics in the workplace.
At the center of their research is the concept of the “Dark Triad,” a group of personality traits that includes narcissism, Machiavellianism, and psychopathy. These traits are often associated with manipulation, lack of empathy, and self-serving behavior. In leadership roles, they can create environments where trust erodes, collaboration breaks down, and performance suffers.
What makes this issue particularly complex is that these traits do not always present in obvious ways. In some cases, they are even associated with confidence, decisiveness, and strategic thinking. This duality makes it difficult for organizations to identify and manage their impact effectively.
The question then becomes, how do you manage behavior that is both influential and potentially harmful?
This is where the research introduces a new perspective.
Cook and Cook position artificial intelligence as a potential “workplace equalizer.” Rather than replacing human judgment, AI can serve as a tool to reduce bias, increase transparency, and create more consistent decision-making processes. By standardizing evaluations and introducing data-driven insights, AI has the potential to limit the influence of toxic behaviors in critical organizational decisions.
The research outlines several practical applications of this approach. AI-powered sentiment analysis can provide real-time feedback on communication, helping individuals recognize when their tone may be perceived as aggressive, dismissive, or manipulative. Communication monitoring tools can flag patterns that indicate problematic behavior, allowing for earlier intervention.
Another key application is AI-assisted emotional coaching. Through simulations, feedback systems, and guided reflection, individuals can develop greater emotional awareness and improve how they interact with others. For leaders who may struggle with empathy or self-regulation, these tools offer a pathway for growth that is both structured and measurable.
The implications extend beyond individual behavior.
AI can also influence how organizations make decisions related to hiring, promotion, and performance evaluation. By reducing the role of subjective judgment, these systems can help ensure that decisions are based on consistent criteria rather than personal influence. This creates a more balanced environment where performance and contribution are more clearly defined.
At the same time, the research does not ignore the challenges.
Introducing AI into workplace governance raises important questions about privacy, trust, and ethical use. Employees may feel uncomfortable with monitoring systems, and organizations must carefully consider how these tools are implemented. Transparency, clear policies, and ethical guidelines become critical in ensuring that AI supports, rather than undermines, workplace culture.
There is also a broader leadership takeaway in this work.
Managing toxic behavior is not just about removing negative influences. It is about creating systems that promote accountability, fairness, and constructive interaction. AI, when used thoughtfully, can support that goal by providing insights that are difficult to capture through human observation alone.
The Best in Track Award for Career & Professional Development recognizes research that advances how individuals grow and succeed within organizations. Cook and Cook’s work does exactly that. It challenges traditional approaches to leadership development and introduces new tools for addressing one of the most persistent issues in organizational behavior.
As workplaces continue to evolve, so will the tools used to manage them. The integration of artificial intelligence into leadership and culture is not without its challenges, but it offers a new way to think about how organizations create healthier, more effective environments.
Jack Cook and Jared Cook’s research is a reminder that leadership is not just about influence. It is about responsibility. And sometimes, the most important work is not amplifying leadership, but refining it.