Volume 18, No. 2, 2021

Strategic Framework For Ai Governance In The Indian Public Sector: Lessons From Global Best Practices


Koushik Bhattacharyya , Dr. Uruj Jaleel

Abstract

This article offers a thorough strategic framework for AI governance that is adapted to India's distinct socioeconomic and technical environment. It starts by placing the emergence of AI in the Indian and global public sectors in context and highlighting the technologies' revolutionary potential. The study highlights the main ethical, technological, and legal obstacles to AI adoption in India, including data privacy issues, infrastructure constraints, and the requirement for flexible laws. The study presents a comprehensive governance framework that includes regulatory regulations, institutional supervision structures, ethical principles, and best practices from the EU, USA, China, Japan, and Singapore. The suggested framework prioritizes encouraging innovation and public trust while guaranteeing accountability, justice, openness, and data protection. Comprehensive legislation and the formation of important institutions are outlined in a step-by-step, thorough implementation plan. The framework's possible advantages and disadvantages are examined in the discussion section, along with the framework's implications for public sector innovation and governance. The study concludes by making policy proposals to guarantee India's ethical and efficient use of AI technology. With this framework, India hopes to become a global leader in the ethical application of AI, promoting social good and equitable progress.


Pages: 3150-3168

Keywords: AI Governance, Ethical AI, Public Sector Innovation, Regulatory Framework, India.

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