A committee under the Department of Telecommunications has released a draft framework of the Indian Artificial Intelligence Stack which seeks to “remove the impediments to AI deployment”, and essentially proposed to set up a six-layered stack, each handling different functions including consent gathering, storage, and AI/Machine Learning (AI/ML) analytics. Once developed, this stack will be structured across all sectors, including data protection, data minimisation, open algorithm frameworks, defined data structures, trustworthiness and digital rights, and data federation (a single database source for front-end applications), among other things. The paper also said that there is no "uniform" definition of AI. This committee — AI Standardisation Committee — had, in October last year, invited papers on Artificial Intelligence, addressing different aspects of AI such as functional network architecture, AI architecture, and data structures required, among other things. At the time, the DoT had said that as the proliferation of AI increases, there is a need to develop an Indian AI stack so as to bring interoperability, among other things. Here is a summary of the draft Indian AI Stack, comments to which can be emailed at firstname.lastname@example.org or email@example.com, until October 3. How the proposed Indian AI stack looks, on paper The stack will be made up of five main “horizontal” layers, and one “vertical” layer: 1. Infrastructure layer Ensures setting up of a common data controller (an entity that determines the purpose and means of processing personal data) including both public and private clouds Ensures encryption and data minimisation at the…
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