Institutional AI Governance and Emotional Safety: A Leadership Analysis of Data Integrity Policies in Higher Education in Georgia State University

Abstract

New Research Release: Institutional AI Governance and Emotional Safety in Higher Education I am pleased to announce the publication of my latest scholarly work: Institutional AI Governance and Emotional Safety: A Leadership Analysis of Data Integrity Policies in Higher Education at Georgia State University. This research examines how university leaders communicate ethical responsibility and emotional protection through formal policy restrictions on generative artificial intelligence. Based on Adaptive Leadership Theory (Heifetz, Grashow, & Linsky, 2009) and Servant Leadership Theory (Greenleaf, 2002), the study evaluates Georgia State University’s Generative AI guidance as a record of leadership decisions affecting student privacy, faculty autonomy, and institutional credibility. The research is organized around four areas of inquiry: Adaptive Leadership in Response to AI-Related Risks The study examines how university leaders respond to unpredictable risks associated with generative AI, including metadata exposure, intellectual property misuse, and regulatory violations. Georgia State’s policy prohibits the entry of personally identifiable information into unsupported platforms, reflecting a leadership decision to prevent reputational harm and psychological distress (Georgia State University, n.d.; Shen, Qiu, & Wang, 2025). Servant Leadership and Ethical Care for Vulnerable Populations The analysis identifies provisions that protect students with disabilities and those with mental health records. These restrictions reflect servant leadership behaviors that prioritize ethical care and institutional accountability. The policy’s attention to sensitive data categories affirms a leadership commitment to protecting student wellbeing (Eva et al., 2019; Aboramadan, Dahleez, & Hamad, 2021; Adams, Feng, & Omar, 2025). Data Integrity and Emotional Safety as Leadership Responsibilities The study evaluates how institutional restrictions on data use communicate ethical responsibility. Georgia State’s policy references FERPA, HIPAA, and GDPR compliance, but does not explain how emotional safety is supported or reviewed. The absence of procedural guidance may limit faculty and student understanding of how protections are maintained (Rubel & Jones, 2016; Francis et al., 2023; Klimova & Pikhart, 2025). Policy Structure and Leadership Accountability The analysis considers how the policy assigns responsibility to individual users while maintaining institutional authority over AI governance. Although the document outlines ethical restrictions, it lacks explanation of internal review processes, approved tools, or leadership follow-up. This omission may affect perceptions of trust and reduce confidence in institutional protection (Lee et al., 2024; Wu, Zhang, & Carroll, 2024). This work affirms that ethical leadership in AI governance requires more than regulatory compliance. It depends on university leaders who communicate responsibilities clearly, protect emotional wellbeing through policy restrictions, and respond to emerging risks with care and accountability. The findings contribute to ongoing efforts to improve leadership practices and institutional credibility in higher education.

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