Rajeev Chandrasekhar, Union Minister of State for Information Technology, said that seven working groups have presented their formal report on the Centre's India AI policy. The latter comprises a multi-year roadmap for developing an India Datasets platform to gather, organize, and create fundamental artificial intelligence models utilizing anonymized data, as well as developing AI computing infrastructure indigenously under a public-private partnership paradigm.

 

Addressing the media after submission of the report, Chandrasekhar said, “Two key areas of the India AI programme, apart from support for startups and a very comprehensive skilling programme, are the India datasets platform, and the India AI compute platform. The latter will be a public-private partnership project that will create substantial graphics processing unit capacity for startups and researchers to train AI models. The India datasets platform will be one of the largest and most diverse collections of anonymized datasets to train multi-parameter AI models. India AI will also support the development of AI chips in partnership with the Semicon India programme."

 

On 16 April, while multiple top Indian colleges and institutes are working on building local language generative AI capabilities across a wide range of applications, the lack of availability of compute has been a challenge for researchers in building large AI models. The lack of available structured data, especially in local Indian languages, is another challenge, as per livemint.

 

Chandrasekhar highlighted that under the India AI report, the Centre is presently in the midst of consultations for the draft National Strategy for Robotics, which was opened for industry consultations on 4 September, and will accept feedback until 31 October. Further, scope for growing AI datasets, monetization, and regulation of AI and related technologies will come under the ambit of the upcoming Digital India Act—which Chandrasekhar said is “on the verge of starting consultations."