Partner: Nikhil Narendran
This is a link enhanced version of the podcast that first appeared on Interpreting India.
Podcast Overview:
In this episode of Interpreting India, the discussion explores the evolving landscape of India’s data protection and AI governance frameworks. It examines the Digital Personal Data Protection Act, including its approach to consent, exemptions and alternative legal bases, and considers how enforcement gaps could affect its ability to address large-scale data misuse. The conversation also explores whether India requires a comprehensive EU-style AI law or could benefit more from strengthening existing regulatory mechanisms through targeted updates. It further addresses emerging and under-regulated risks such as artificial intimacy driven by AI-powered companionship, as well as the growing integration of AI within legal practice and closer collaboration between legal and technology functions in managing future digital risks.
Our Partner, Nikhil Narendran, shares his insights on India’s evolving data protection and AI governance landscape. He discusses why the DPDP Act is not as consent-centric as commonly perceived due to its exemptions and alternative legal bases, while highlighting how enforcement gaps could limit its ability to address large-scale data misuse. He also explains why India may not currently require a comprehensive EU-style AI law and could benefit more from targeted updates to existing regulatory mechanisms. He highlights emerging risks around artificial intimacy and AI-powered companionship that warrant early policy attention, and discusses the growing adoption of AI within legal practice, with a majority of lawyers at Trilegal already using AI tools in their daily workflows.
Listen to the full episode
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