Kathuria, Yatin, Chaki, Nishit Ranjan, Kaur, Manpreet, Kumar, Satish and Medhavi, Raka (2024) Responsible AI impact assessment mechanism for India: A robust strategy for effective governance of AI systems in the country. AIP Conference Proceedings, 3220 (1). ISSN 0094-243X
Full text not available from this repository. (Request a copy)Abstract
Artificial Intelligence (AI) is rapidly evolving technology and has proven its potential to transform the different sectors for societal good. However, this innovation also proffers ethical, legal, and social challenges that need to be addressed prudently. Therefore, it is essential to ensure that AI development and deployment is aligned with the best practices and principles of Responsible AI focusing on equality, accountability, transparency, privacy, safety, and respect towards human values. To achieve this aspiration, there is a need for a comprehensive and robust “AI Impact Assessment Mechanism” that can monitor and evaluate the AI systems and applications in India. Such a mechanism would enable the government, to have a clear and holistic view of the AI landscape in India, and to ensure that the AI systems are deployed with the existing legal framework and ethical norms governing AI in country. In alignment with the provisions of National Strategy on AI 2018 and responsible AI Principles adopted by the Indian Government and International Organizations like OECD and UNESCO, the study tends to develop a model of “AI Impact Assessment Mechanism” that will ultimately promote and facilitate effective governance of AI technology in the country.
Item Type: | Article |
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Keywords: | Artificial intelligence | International governance | Scientific society and organization |
Subjects: | Social Sciences and humanities > Decision Sciences > Information Systems and Management Physical, Life and Health Sciences > Computer Science Social Sciences and humanities > Social Sciences > Social Sciences (General) |
JGU School/Centre: | Jindal Global Law School |
Depositing User: | Dharmveer Modi |
Date Deposited: | 11 Oct 2024 13:39 |
Last Modified: | 14 Oct 2024 14:19 |
Official URL: | https://doi.org/10.1063/5.0234670 |
URI: | https://pure.jgu.edu.in/id/eprint/8617 |
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