The antitrust regulator intends to adopt a cautious approach while acquiring an understanding of the evolving dynamics and benefits of the technology.
Rather than imposing immediate regulation on artificial intelligence, the Indian antitrust watchdog intends to adopt a cautious approach while acquiring an understanding of the evolving dynamics of the technology.
Emphasizing the measured strategy of the Competition Commission of India, or CCI, Chairperson Ravneet Kaur said "this is not a stage when the CCI as a regulator would like to come out [with regulation], because we feel that we are at the stage where we first need to understand the dynamics of the AI, how the ecosystem is playing out," given the "huge amount of benefits."
Kaur's remarks were delivered amidst a broader discussion on the intricate relationship between competition, innovation, regulation and policy — all crucial elements in India's ambitious journey towards a 'Viksit Bharat,' the term that refers to the government's roadmap to making India a developed nation. She stressed the paramount importance of ensuring free, contestable, open and fair markets as a fundamental objective in realizing the national aspiration at a conference "India's Digital Economy: Competition, Innovation, Regulation, Policy" which was held on July 11, in New Delhi.
Kaur noted the regulator's continuous adaptation, largely propelled by the rapid shifts within digital markets. She said India's approach to digital regulation seamlessly complements ex-post and ex-ante measures. The CCI has already taken substantial ex-post enforcement actions against major tech entities like Google and on Meta's* WhatsApp messaging app, addressing anticompetitive practices and instances of abuse of dominance, with a particular focus on the use of data as a non-price parameter.
Commenting on the CCI's ongoing AI market study, Kaur said that it is in an advanced stage, with an implementation partner having already conducted extensive consultations with interested parties. The study is specifically tailored to explore the implications of AI for competition, investigating potential anticompetitive behaviors such as algorithmic collusion, discriminatory pricing and cartelization.
A significant challenge Kaur said, lies in establishing accountability and a "meeting of minds" when algorithms are the primary actors, a scenario that diverges from traditional anticompetitive paradigms. "Our act is providing for a meeting of minds, but when algorithms work, how do we establish that meeting of minds and who will be accountable," she questioned.
Kaur also cited the growing concerns on the potential for AI-driven collusion and other anticompetitive practices. Earlier this year, she raised the need for proactive regulation in the age of AI.
*banned and designated as extremist in Russia
Source: MLex
