Artificial Intelligence Compliance: Perceptions within Organizations

This paper investigated employee perceptions regarding three categories of AI compliance: organizational, technical, and ethical/legal, with a focus on gender, age, and job level within organizations.An instrument was designed to measure AI compliance in these categories.A professional Internet survey company distributed the instrument to sample participants from various organizations in the USA.A total of 152 usable surveys were completed.Three separate analyses of variance (ANOVA) tests were used to analyze the data.Gender differences emerged, with males consistently rating the importance of compliance higher than females in all categories, suggesting a need for further exploration into the underlying reasons.Agerelated trends indicated that the older participants exhibited higher opinions about the importance of AI compliance in two AI compliance categories.Regarding job levels, the mean scores increased significantly from entry-level to intermediate and middle management, and then decreased from middle to senior management in two AI compliance categories.The implications of the findings are discussed, emphasizing the urgent need for proactive governance strategies and effective compliance mechanisms to address the rapidly evolving risks associated with AI.It is suggested that leadership engagement and the implementation of Compliance-as-a-Service (CaaS) may enhance adherence to AI risk management practices.Conclusion and recommendations for future research complete the paper.