International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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Volume 7 Issue 4
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The AI Frontier Balancing Innovation and Risk in the Enterprise

Author(s) Goutham Sunkara
Country United States
Abstract The emergence of artificial intelligence (AI) technology has changed the work of enterprises, including customer service and decision-making processes, automation, and data management. The paper addresses the equilibrium that organizations must reach on the one hand to enjoy the innovational benefits of AI, and on the other hand, handle the risks that come with the AI adoption. This paper set out to examine the two-sided aspect of the AI implementation in big enterprises with a view to find best practices of regulation, ethics, and security. Based on the qualitative analysis of the present-day industry activities and recent literature, the study portrays the process of structuring internal policies according to how companies respond to legal, ethical, and operational risks and support the machine-learning derived growth. The research methodology will involve a comparative study of the case studies in realms of finance, healthcare, and manufacturing. The results show that there are some strategies common to enterprises that used AI and achieved success, i.e., creating ethical AI boards, applying interpretable models, and linking AI implementation with strategic planning processes. On the other hand, the struggling ones commonly attribute lack of regulatory clarity, skill short, or poor oversight mechanisms. Conclusively, this paper suggests possible frameworks of governance be included in the risk analysis, explainability needs, and stakeholder engagement at every point in the development and implementation of AI. The insights will help business leaders, policymakers, and researchers design scalable and innovative and conscientious AI practices.
Keywords Artificial intelligence, enterprise governance, AI ethics, automation, innovation, risk management, explainability, compliance, security, accountability
Published In Volume 7, Issue 3, May-June 2025
Published On 2025-06-25
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E-ISSN 2582-2160
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