- Published on September 12, 2025
- In AI Features
Why Responsible AI Demands Both Trust and Compute Ownership
Enterprises need to control the full AI stack and deployment, especially when sensitive information is involved.
Image by Nalini Nirad
- By Ankush Das
Artificial Intelligence now influences decisions across sectors, but not all decisions carry the same weight. A chatbot's casual error may be forgivable. In finance or healthcare, however, a single wrong prediction can cost billions, or even a life.
This is why experts argue that regulated industries require a responsible AI, systems designed for trust and accountability from the ground up.
Bhaskarjit Sarmah, head of financial services AI research at Domyn, a composite AI platform to design, deploy, and orchestrate AI Agents, explained the stakes in an exclusive interaction with AIM.
“Nobody can make an AI with 100% accuracy… but the question is, how do I know which AI output is correct and which is not when AI is in production,” he said.
Responsible AI, in hi
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Ankush Das
I am a tech aficionado and a computer science graduate with a keen interest in AI, Coding, Open Source, Global SaaS, and Cloud. Have a tip? Reach out to ankush.das@aimmediahouse.com
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