Arundhati Bhattacharya on the importance of building trust in the development and deployment of AI, especially large language models (LLMs). I appreciate you highlighting the key points she made regarding data security, transparency, user control, and the need for robust safeguards.

I think Bhattacharya raises some valid and important concerns that need to be addressed as AI systems become more advanced and prevalent. Building trust through measures like strong data protection, transparency about the AI models being used, and giving users control over their interactions with AI is crucial for ensuring responsible AI development and adoption.

The idea of a "trust layer" like Salesforce's Einstein Trust Layer is an interesting concept that could help mitigate potential risks and instill confidence in enterprise AI applications. Putting safeguards and filters in place to vet AI outputs before they reach users seems like a prudent approach, especially for business use cases involving sensitive data.

The suggestion of a public-private partnership in India to align AI development with government regulations is also noteworthy. Collaborative efforts between industry and policymakers could help strike the right balance between innovation and responsible governance of AI.

Overall, I agree that engendering trust should be a top priority as AI capabilities continue to rapidly advance. Proactive measures around data security, transparency, user control, and regulatory alignment will be key to unlocking the tremendous potential of AI while mitigating risks and ethical concerns. Thought leaders like Bhattacharya are helping drive this important conversation.