ーCredentials in the Age of AI🤖 

 We are now entering a world where machines can not only describe a tumor
—but mimic the judgment of those trained to diagnose it.

AI can compare patterns, generate papers, and cite guidelines with ease.  

But it cannot hold a license.  

It cannot be sued.  

It cannot be trusted with lives.

Credentials are no longer ceremonial.  

They are the final firewall between knowledge and its simulation.

False MDs and artificial intelligence now share a disturbing similarity:  

They can both sound confident—without bearing responsibility.

This is not a coincidence
—it reflects a deeper failure to assign diagnostic responsibility in systems that tolerate silence.

And so we ask:  

Who should be allowed to speak in the language of diagnosis?

Who Diagnosed You? Volume I exposed one man who wore a title he did not earn.  

But he is not alone.

As we look to the future, new questions emerge:  

- How will AI-generated output shape real-world diagnoses?  

- What happens to individual responsibility in team-based, AI-assisted decisions?  

- Will institutions continue to stay silent—failing to ask, “Who made the call?”

The next frontier of diagnostic ethics may not be about machines alone.  

It is about people, licenses, and systems in crisis.

When simulation becomes indistinguishable from authority—  

who will be trusted to diagnose?

🔁 Want to understand where this all began?

The questions raised by AI today echo a problem that already existed—

when a licensed dentist falsely claimed to be an MD and shaped cancer diagnoses in Japan.

👉 Read the origin story in [Who Diagnosed You? Volume 1]

　  ーFalse credentials and institutional silence in Japan’s medical system

🌍 Read it on 📗 Paperback (Amazon)　▶️ Kindle