Adaptive AI governance: Strategic frameworks for ethical, inclusive, and equitable policymaking in India
By: Jain, Pranjal Jain, Pooja and Jain, Anju
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BookPublisher: ISTM Journal of Training Research and Governance Description: 5(2), Jan, 2025: p.21-34.Subject(s): Artificial intelligence, Public policy, Data driven governance
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ISTM Journal of Training Research and GovernanceSummary: This study explores how India can develop an adaptive AI governance framework that ensures ethical, inclusive, and equitable policymaking? As AI reshapes governance, it is essential to balance innovation with accountability and public trust. This research evaluates India’s National Strategy for Artificial Intelligence (AI for All), emphasising the need for dynamic and adaptive governance models. The study identifies key risks such as algorithmic bias, data sovereignty challenges, cybersecurity threats, and the lack of transparency, and proposes countermeasures including iterative regulatory cycles, adaptive policymaking, realtime monitoring, and regulatory sandboxes. It evaluates the importance of citizen participation in ensuring equitable access to AI technologies and promoting fair deployment. By integrating these strategies, this research advocates for a governance framework that prioritizes equity, accountability, and transparency. The findings offer a particular focus on enhancing policymaking in healthcare, agriculture, and smart cities. Artificial Intelligence (AI) is projected to significantly contribute to India’s economy, with an estimated potential to add $957 billion, equivalent to 15% of the current gross value added, by 2035 (Accenture, 2018). The National Strategy for Artificial Intelligence (NSAI) effectively positions AI at the forefront for enhancing outcomes in critical sectors such as healthcare, agriculture, and education. AI’s role in scaling the delivery of state services, such as remote medical diagnostics, precision agriculture advisory, as well as improving inclusivity in access to government welfare programs through tools like regional language chatbots and voice interfaces, induces its application in effective policy making. For instance, in the 2019 Prayagraj Ardh Kumbh Mela in Uttar Pradesh, an impressive network of 1,100 AI-enabled CCTV cameras monitored crowd density. They were integrated with Command-and-Control Centres and alerted security personnel whenever threshold limits were breached, exemplifying AI’s capacity to enhance public safety through real-time intelligence. Equally innovative is the work of Wadhwani AI, which is piloting a smartphone-based anthropometry tool designed to empower health workers. This AI-powered application enables the screening of low-birth-weight infants without the need for specialized medical equipment, a boon for resource-constrained settings. Three Centres of Excellence in Artificial Intelligence are being set up for Health, Agriculture and Sustainable Cities, 1.0. Introduction- Reproduced
https://www.istm.gov.in/home/istm_journal/386
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Articles
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Indian Institute of Public Administration | 5(2), Jan, 2025: p.21-34 | Available | AR137310 |
This study explores how India can develop an adaptive AI governance framework that ensures ethical, inclusive, and equitable policymaking? As AI reshapes governance, it is essential to balance innovation with accountability and public trust. This research evaluates India’s National Strategy for Artificial Intelligence (AI for All), emphasising the need for dynamic and adaptive governance models. The study identifies key risks such as algorithmic bias, data sovereignty challenges, cybersecurity threats, and the lack of transparency, and proposes countermeasures including iterative regulatory cycles, adaptive policymaking, realtime monitoring, and regulatory sandboxes. It evaluates the importance of citizen participation in ensuring equitable access to AI technologies and promoting fair deployment. By integrating these strategies, this research advocates for a governance framework that prioritizes equity, accountability, and transparency. The findings offer a particular focus on enhancing policymaking in healthcare, agriculture, and smart cities. Artificial Intelligence (AI) is projected to significantly contribute to India’s economy, with an estimated potential to add $957 billion, equivalent to 15% of the current gross value added, by 2035 (Accenture, 2018). The National Strategy for Artificial Intelligence (NSAI) effectively positions AI at the forefront for enhancing outcomes in critical sectors such as healthcare, agriculture, and education. AI’s role in scaling the delivery of state services, such as remote medical diagnostics, precision agriculture advisory, as well as improving inclusivity in access to government welfare programs through tools like regional language chatbots and voice interfaces, induces its application in effective policy making. For instance, in the 2019 Prayagraj Ardh Kumbh Mela in Uttar Pradesh, an impressive network of 1,100 AI-enabled CCTV cameras monitored crowd density. They were integrated with Command-and-Control Centres and alerted security personnel whenever threshold limits were breached, exemplifying AI’s capacity to enhance public safety through real-time intelligence. Equally innovative is the work of Wadhwani AI, which is piloting a smartphone-based anthropometry tool designed to empower health workers. This AI-powered application enables the screening of low-birth-weight infants without the need for specialized medical equipment, a boon for resource-constrained settings. Three Centres of Excellence in Artificial Intelligence are being set up for Health, Agriculture and Sustainable Cities, 1.0. Introduction- Reproduced
https://www.istm.gov.in/home/istm_journal/386
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