Secrecy Around AI Models Limits Innovation': Infosys Co-Founder Nilekani

New Delhi (The Uttam Hindu): Infosys co-founder Nandan Nilekani has raised concerns about the increasing complexity and secrecy surrounding artificial intelligence (AI) models, emphasizing that a more open approach could drive greater innovation. Speaking at the People+AI Mela in Bengaluru, Nilekani pointed out that many AI models are kept secret within companies, preventing public scrutiny and stifling progress. "They keep doing more of that, but it is not that it is going to get any better. They are all typically kept within the four walls of a company. It is like a black box for the rest of us," Nilekani stated, as reported by news site agency.

Nilekani warned that this secrecy limits the potential for innovation and collaboration, arguing that transparency in AI development is key to accelerating progress. He cited China’s DeepSeek project as an example of how an open approach can foster innovation. By making their AI-building methods publicly available, DeepSeek has contributed to the global growth of AI development, helping to demystify the process. "I have always believed that models are a commodity. This is proving to be true. Hundreds of models are getting built," Nilekani remarked, emphasizing how shared knowledge can democratize AI development.

Nilekani also underscored the importance of high-quality datasets, particularly in Indian languages, to support AI's growth in India. He praised AI4Bharat, an initiative by IIT Madras, as a critical step in creating datasets that are more inclusive of diverse linguistic communities. "The hard part is uses. How do we use this to deliver value for people? That is where we can lead," Nilekani added, committing his support to the AI4Bharat initiative for the next three years.

Discussing India’s vibrant startup ecosystem, Nilekani noted its rapid expansion, from 1,000 startups in 2016 to over 150,000 today. He believes AI and digital technologies will play a crucial role in the success of these startups. "They will use mass-scale technologies that we have deployed in interesting use cases. There is also going to be a lot of capital coming in," he remarked.

While AI models continue to evolve, Nilekani emphasized that the real challenge lies in their practical application. He urged developers and companies to focus on using AI to solve real-world problems and improve lives, especially in a country like India, where AI's potential for societal impact is immense.