The Department of Telecommunications’ newly released framework of the Indian AI Stack admitted that the AI stack will suffer from algorithmic bias, if "contaminated" data is ingested into it. Incidentally, the paper suggested that having "open" AI algorithms, and "centrally controlling" data are among the ways to prevent algorithmic bias. The proposed Indian AI stack is essentially a six-layered stack, each handling different functions including consent gathering, storage, and AI/ML analytics. The paper said that once the stack is fully developed, it 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. Comments to the draft paper can be emailed at email@example.com or firstname.lastname@example.org, until October 3. A committee under the DoT — AI Standardisation Committee —…
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