In India, the rules for the Digital Personal Data Protection (DPDP) Act, 2023 are yet to be formulated.
“The unqualified and almost universal assertions that AI, particularly LLMs, will change things for the better for all humanity must be subjected to further critical scrutiny. It is unclear how and what type of AI will help mitigate maternal deaths and child malnutrition and improve the condition of primary health centers (PHCs), anganwadis, etc. in the Indian hinterland.
We don’t have any concrete examples of benefits yet. These are extremely people-centric areas for which the state must design and implement policies, keeping people at the center. Additionally, there is a need to ensure greater transparency and recognition of diverse perspectives, which is lacking in current brand AI,” added Prakash.
“The fascination with AI seems to come more from a top-down, centralized approach. The questions Balaji would have raised about the source and use of data to create generative AI models often go unaddressed, perhaps due to the hype around the inevitability that is building around AI. It seems that many people are joining the movement out of fear of being left behind.
Technologies promising to help marginalized sections of society and humanity as a whole are typically subject to intense scrutiny and regulatory oversight; the same goes for AI and LLMs. The doubts and dilemmas surrounding them require clear answers and resolution strategies. They should not be pushed around in the name of impacting ‘innovation’,” Prakash added.
