Technical, Legal And Ethical Opportunities And Challenges Of Governing Artificial Intelligence In India
Mabel V Paul, School of Law, CHRIST (Deemed to be University).
ABSTRACT
Applications that make use of AI have, up to this point, been pushed almost entirely by the private sector and have generally concentrated on consumer goods. Because of the rapidly expanding magnitude of the technology and the ramifications it could have, it is vital that officials in government pay attention. India ought to take into consideration the various public and private funding methods for AI research that are available as a result of the early successes of AI in the United States, China, and South Korea, among other places. The traditional model of schooling followed by employment is no longer relevant in the modern economy. The nature of jobs is changing at a rapid pace, and skills can quickly go from being important to being worthless in a matter of years. It is vital that India recognizes artificial intelligence as a crucial component of its national security strategy. This is because China is making rapid progress in the research of AI-based technologies.It is crucial to promote AI-based innovation and to establish AI- ready infrastructure in order to preserve India's strategic interests and to future-proof the Indian employment market and the Indian workforce. There are currently no laws, statutory rules, or government-issued recommendations in India pertaining to AI. This article argues that technological constraints of AI systems should be considered during policy development, and that the societal and ethical problems that arise as a result of these constraints should be used to guide the goals of policy making. It examines the three crucial phases—the collection of data, the development of a model, and the integration of that model into a working application— into which machine learning (the most popular subset of AI techniques) must pass before it can be put into widespread use. The analysis presented here gives a foundation upon which such thought might be deliberated. It is built with the contemporary AI policy landscape in India as its backdrop, and it applies the suggested framework to ongoing sectoral problems in India. Its goal is to influence the policy discourse taking place in India by drawing attention to the risks associated with data-driven decisions in general and in the Indian context in particular.
Keywords: AI, develop, infrastructure, policy, hazardous.
