False Confidence in Ayurveda?

AI functions by learning from existing data and patterns.

If that data is incomplete, poorly contextualized, or lacks sufficient clinical validation, the information it generates is not vetted knowledge — and applying it directly becomes dangerous

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In simple terms:

Two people may have a fever, and both can be given the same antipyretic pill to reduce temperature.

"But Ayurveda does not work this way".

• Ayurveda first asks why the fever is present.
• Through detailed diagnosis, it may find that the root cause of fever in two people is entirely different — and therefore, the line of treatment must also be different.
• This is precisely where AI-generated Ayurveda becomes risky.

When people start using nutraceuticals like Ashwagandha or Shatavari based on online advice, trends, or peer influence — without understanding prakṛti, agni, dosha imbalance, stage of disease, or contraindications — they are unknowingly misusing a medical science.

Ayurveda has never been a checklist science. It is a thinking system, a listening science, and a responsibility-based practice.

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This Instagram LIVE is not a critique of technology.

It is a professional warning shared by experienced Ayurvedic doctors — Dr Pankaj Chansarkar and Dr Sharon Samuel — who have spent decades in clinical practice and education.

Follow Instagram handle @hellomyyoga for the IG LIVE and the event update.

Their message is simple and serious:

"Information without diagnosis, context, and accountability can harm — even when it comes from Ayurveda. This conversation calls for discernment, ethical learning, and patient safety in the age of AI".