About this episode

Tanvi Singh discusses the importance of sovereignty in AI systems and the need for enterprises to control their AI models to ensure accountability.

Tanvi Singh draws on over two decades of building and governing AI systems inside global banks to make a provocative case: you cannot be accountable for decisions you do not control. Enterprises are consuming intelligence through models they don't own, can't explain, and didn't train. Singh reframes sovereignty beyond data center locations and infrastructure, to control across the entire stack, so that an organization's AI reflects its own values, laws, and culture. Whlile frontier LLMs will continue to dominate the consumer and retail market, she argues that domain-specific models will be important for enterprise and regulated use cases, offering better accuracy at dramatically lower cost. The conversation also touches on Singh's engagement with the Vatican's Pontifical Academy of Sciences around AI ethics, which has worked on benchmarks that reflect institutional values rather than defaulting to the cultural norms baked into large internet-trained models. Tanvi Singh is the Co-Founder and CEO of Ekta Inc., a sovereign AI platform company building domain-specific foundation models for governments and regulated industries. She previously served as Group Head of AI, Data &…

People in this episode

Host: Kevin Werbach

Guest: Tanvi Singh

Topics covered

• sovereign AI
• AI accountability
• domain-specific models
• AI ethics
• enterprise AI
• regulated industries

Keywords

• sovereign AI
• accountability
• AI ethics
• domain-specific models
• enterprise AI
• Vatican
• AI governance

Mentioned in this episode

Organizations: Ekta Inc., UBS, Credit Suisse, GE, Monsanto, Global Blockchain Business Council, GirlsCanCode, Vatican's Pontifical Academy of Sciences

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