How AI training models could compromise privacy

The article highlights the inadequacy of current legal frameworks in protecting constitutional privacy rights amid rapid Artificial Intelligence advancements. It argues that while broad AI regulations risk stifling innovation, targeted interventions can effectively safeguard individual rights without hindering economic growth or technological progress. Specifically, it critiques the transition from the Information Technology Act to the Digital Personal Data Protection Act. The analysis points out significant gaps in previous laws, which imposed limited penalties and failed to cover vast categories of non-sensitive personal data, such as browsing history and social media activity, leaving many citizens vulnerable to data misuse. This discussion is crucial for open data advocates because it underscores the tension between data utility and individual privacy. Understanding these legislative nuances helps policymakers design open data initiatives that balance transparency and innovation with robust, legally enforceable privacy protections, ensuring that public data sharing does not compromise fundamental digital rights.

Source: thehindu.com
Published on 2026-11-03

How AI training models could compromise privacy

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