A closed-door discussion on AI and privacy highlighted tensions in India's consent-based privacy framework, which is months away from active enforcement. The debate focused on whether individuals own their personal data or merely control access to it, especially regarding AI training on publicly available data, according to medianama.com.
Participants at the event, held under the Chatham House Rule, repeatedly questioned the adequacy of existing privacy principles designed for the Web 2.0 era. They noted that consent regimes were not built for large-scale data scraping or for developers combining multiple legal bases for data processing. The principle of purpose limitation, which restricts data reuse, also conflicts with AI’s need for extensive historical data to improve personal models, medianama.com reported.
The discussion underscored a fundamental mismatch between current privacy laws and AI development needs. India's Digital Personal Data Protection law, still pending enforcement, may face challenges in regulating AI systems that rely on diverse and large datasets. The debate reflects broader global concerns about balancing privacy rights with AI innovation, as similar issues arise in other jurisdictions, medianama.com noted.
India’s Digital Personal Data Protection law is expected to come into force later this year, setting the stage for how consent and data ownership issues will be addressed in AI applications, medianama.com said.