Deliberations on AI policy in India began with the Ministry of Commerce and Industry constituting the AI Task Force for India’s economic transformation on August 24, 2017. The Task Force published its report in January 2018, wherein it...
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January, 2025
A central theme of the report is the emphasis on harm mitigation as a core regulatory principle to ensure that regulations are designed to minimize the risk of harm associated with AI technologies. This is essential for operationalizing the seven principles of AI governance discussed in the report viz., Transparency; Accountability; Safety, reliability & robustness; Privacy & security; Fairness & non-discrimination; Human-centred values & ‘do no harm’; Inclusive & sustainable innovation; and Digital by design governance. The report also addresses the fundamental question of whether to regulate the "technology" itself or its "application” and suggests that this decision should be made in the context of minimizing harm, and the answer may evolve as new risks and needs are identified. It also highlights the importance of enabling innovation as a means of harm minimization, and argues that a lack of clarity or gaps in the law can hinder innovation, which in itself can be a form of harm. Therefore, regulations should aim to provide a clear framework that supports innovation while safeguarding against potential risks. The report also outlines specific recommendations for government action. It suggests that the government should invest in strengthening existing regulatory capabilities and adopt a "digital by design" approach to regulation, encouraging self-regulation within the AI ecosystem and the development of lightweight, outcomes-focused regulations that allow for timely intervention and accountability. It also discusses different regulatory approaches, including entity-based, activity-based, and combination approaches.
March, 2024
March, 2024
Aimed at strengthening the AI innovation ecosystem, the mission aspires to build a high-end scalable AI computing ecosystem of 10,000 or more GPUs through public-private partnership, establish the IndiaAI Innovation Centre to undertake development and deployment of indigenous Large Multimodal Models (LMMs) and domain-specific foundational models in critical sectors, and constitute the IndiaAI Application Development Initiative focusing on impactful AI solutions in critical sectors based on problem statements sourced from Central Ministries, State Departments, and other institutions.
March, 2024
December, 2023
MeitY Advisory on “Due diligence by Intermediaries/Platforms under the Information Technology Act, 2000 and Information Technology (Intermediary Guidelines and Digital Media Ethics Code) Rules, 2021
November, 2023
March, 2023
November, 2022
August, 2021
February, 2021
September, 2020
July, 2019
July, 2019
July, 2019
July, 2019
June, 2018
It outlined challenges for adoption of AI in India and provided recommendations to incentivise core and applied research in AI, skill the workforce, and accelerate AI adoption across the value chain. The paper emphasised on ‘Responsible AI’ with specific recommendations on ‘Ethics, Privacy, Security and Artificial Intelligence’.
February, 2018
August, 2017
The task force intended to create a policy and legal framework for deployment of AI technologies, and provide recommendations for government, industry, and research programs.