Summary
This technical report outlines various barriers that organizations may encounter when adopting artificial intelligence (AI) systems. It categorizes these barriers into four main types: technical, organizational, customer, and external. Technical barriers include issues such as lack of explainability and transparency, poorly performing algorithms, and data-related challenges. Organizational barriers encompass costs, privacy concerns, strategic alignment, and team dynamics, highlighting the importance of organizational readiness and the need for effective change management. Customer barriers address human nature, trust issues, and the necessity for customer education regarding AI systems. External barriers involve government support, legal issues, and regulatory frameworks that can hinder AI implementation. The report emphasizes the complexity of deploying AI systems and the critical need for quality data and stakeholder engagement to facilitate successful adoption.
