Authors: Jasleen Kaur
Abstract: The influence of Artificial Intelligence (AI) governance frameworks on ethical enterprise automation is pivotal in shaping the future of business practices and technological advancement. As enterprises increasingly adopt AI-driven automation for efficiency and innovation, concerns surrounding ethical use, accountability, transparency, and societal impact grow more prominent. AI governance frameworks provide structured guidelines, standards, and regulatory mechanisms to ensure that automated processes align with ethical principles and legal requirements. These frameworks drive organizations to develop responsible AI systems that respect human rights, prioritize fairness, and mitigate risks such as bias, discrimination, and privacy breaches. Through the implementation of governance structures, enterprises enhance stakeholder trust, manage compliance risks, and foster sustainable innovation. This article explores the multifaceted role of AI governance frameworks in influencing ethical enterprise automation. It examines the evolution and components of these frameworks, their integration with corporate governance, and their impact on ethical decision-making in AI-driven workflows. The article further delves into challenges faced by organizations in balancing automation benefits with ethical imperatives, emphasizing transparency, auditability, and human oversight. Case studies illustrate best practices and pitfalls in governance implementation, while discussions on future trends highlight the evolving landscape of AI ethics and regulatory developments. By addressing both technical and organizational dimensions, this comprehensive review offers insights for policymakers, business leaders, and technologists committed to embedding ethics at the core of enterprise automation. The findings underscore the necessity of adaptive governance models that can respond to rapidly advancing AI capabilities and complex ethical landscapes, guaranteeing AI’s positive contributions to society and business sustainability.
International Journal of Science, Engineering and Technology