The research on Global Artificial Intelligence Governance: Legal, Ethical, and Policy Perspectives with a Comparative Analysis of India’s Regulatory Framework explains how Artificial Intelligence (AI) is growing rapidly and why it needs proper regulation at both national and global levels. It discusses the meaning of AI governance, which includes rules, ethical principles, and legal frameworks to ensure AI is used safely, fairly, and responsibly. It highlights that AI is now used in important sectors like healthcare, finance, and governance, making regulation necessary to prevent risks like bias, privacy violations, and misuse. It also explains that since AI works across borders, global cooperation is essential to avoid conflicting laws and ensure balanced development worldwide.
It further explains the evolution of AI from simple systems to advanced technologies like generative AI and autonomous systems. These advancements bring serious risks such as misinformation, job displacement, lack of transparency (black-box problem), and cyber threats. It emphasizes the need for governance frameworks based on risk levels, where high-risk AI systems are strictly regulated while low-risk systems have fewer restrictions. It also highlights India’s position as an emerging AI leader, focusing on inclusive growth through initiatives like “AI for All” and Digital Public Infrastructure.
The article also covers key principles of AI governance such as transparency, accountability, fairness, safety, and human oversight. It explains major ethical issues like algorithmic bias, data privacy concerns, and challenges in machine decision-making. It discusses the role of international organizations like the United Nations, OECD, UNESCO, and World Economic Forum in shaping global AI standards. Additionally, it compares different regulatory approaches of countries such as the European Union (strict and rights-based), the United States (innovation-focused), China (state-controlled), and India (hybrid model).
It also highlights important aspects like data governance, human rights, AI in warfare, and legal liability. The article explains how AI impacts privacy, freedom of expression, and civil liberties, especially in surveillance systems. It discusses challenges in assigning legal responsibility for AI actions and suggests solutions like strict liability and joint liability. The role of private tech companies and the need for global cooperation through treaties and standards are also emphasized.
Key Points Covered in the Article
- Meaning and Importance of AI Governance
It explains AI governance as a system of laws, policies, and ethics to regulate AI and ensure safe and fair use globally. - Evolution and Risks of AI
It discusses how AI has evolved and highlights risks like bias, privacy issues, misinformation, and job loss. - Core Principles of Governance
It focuses on transparency, accountability, fairness, safety, and human control over AI systems. - Ethical and Legal Challenges
It explains issues like algorithmic bias, lack of accountability, and difficulties in applying traditional laws to AI. - Global and Comparative Frameworks
It compares AI regulations of EU, USA, China, and India, showing different governance approaches. - India’s Role and Strategy
It highlights India’s inclusive and balanced approach through policies like DPDP Act and IndiaAI Mission. - Human Rights and Security Concerns
It discusses AI’s impact on privacy, surveillance, and use in warfare and autonomous weapons. - Future of AI Governance
It emphasizes global cooperation, adaptive laws, and ethical standards for responsible AI development.