Adjusting enterprise systems to seamlessly include AI technologies

Abstract

This study explores the obstacles organizations encounter when implementing Artificial Intelligence (AI) effectively, with an emphasis on psychological, organizational, and ethical challenges. It aims to recommend strategies that minimize resistance, foster trust, and streamline the integration of AItechnologies into business processes.Methodology:A qualitative approach is adopted, utilizing an in-depth review of existing literature and case studies to identify factors driving resistance. The research investigates psychological fears, organizational misalignments, and ethical concerns while providing actionable strategies and frameworks to address these barriers.Findings:Key challenges include psychological fears such as concerns over job security and skepticism toward AI, organizational resistance stemming from misaligned strategies and rigid cultural norms, and ethical issues related to bias, accountability, and privacy. Solutions suggested include promoting transparency, aligning AI efforts with organizational goals, implementing sound governance structures, and addressing ethical concerns effectively.Practical Applications: Business leaders and policymakers can leverage proposed strategies like fostering educational initiatives, advocating for ethical AI practices, and investing in stakeholder engagement to build trust and facilitate smooth adoption. Original Contribution: The study introduces a comprehensive framework that integrates psychological, organizational, and ethical elements to reduce resistance to AI adoption. It connects theoreticalinsights with practical applications, enabling organizations to realize the potential of AI while maintaining societal and ethical integrity.