Artificial Intelligence Compliance: Perceptions within Organizations

This paper investigated employee perceptions regarding three categories of AI compliance: organizational, technical, and ethical/legal, giving attention to 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, warranting further exploration into the underlying reasons. Age-related 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 significantly increased from entry-level to intermediate to middle management and decreased from middle to senior management in two AI compliance categories. Implications of the findings are discussed, emphasizing the urgent need for proactive governance strategies and compliance mechanisms to address rapidly evolving AI risks, suggesting that leadership engagement and implementing Compliance-as-a-Service (CaaS) may enhance adherence to AI risk management practices. Conclusion and recommendations for future research complete the paper.