Competition Commission Of India To Undertake Market Study On AI

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Competition Commission Of India To Undertake Market Study On AI
Competition Commission Of India To Undertake Market Study On AI Admin CG March 06, 2024

The Competition Commission of India will soon initiate a market study on artificial intelligence (AI) to develop a comprehensive understanding of its evolving landscape and use cases in markets in India.

“We will shortly commence a market study on artificial intelligence to develop a comprehensive understanding of the evolving landscape of AI and AI use cases in markets in India, which could inform the strategies of the commission aimed at fostering innovation and fair competition,” Ravneet Kaur, head of CCI, said while addressing the 9th conference on Economics of Competition law here.

AI applications are becoming more common across various sectors lately.

In January, she announced that the Competition Commission of India (CCI) would soon float a tender for a study on artificial intelligence in businesses and services.

After a controversy over a response of Google’s AI platform to queries related to Prime Minister Narendra Modi, the government on March 1 issued an advisory for social media and other platforms to label under-trial AI models and prevent hosting unlawful content.

It would be applicable to significant players and untested platforms, and not on start-ups, minister of state for electronics and IT Rajeev Chandrasekhar said.

All digital platforms are required to ensure that the use of artificial intelligence model(s), large language models, generative AI, softwares or algorithms on or through its computer resource do not permit users to host, display, upload, modify, publish, transmit, store, update or share any unlawful content.

The advisory asked use of under-testing, unreliable AI models, generative AI, etc and its availability to the users on Indian Internet with the explicit permission of the government and be deployed only after appropriately labelling the possible and inherent fallibility or unreliability of the output generated.


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