AI in Healthcare Ethics

Artificial intelligence is reshaping how healthcare systems diagnose, document, and deliver care — but power without accountability is dangerous, especially when the people most affected by biased systems are often the ones with the least power to challenge them. My approach to AI in healthcare is built on a simple conviction: technology should expand access and dignity, not quietly erode them. Every tool I use is held to the same standard.

• Source verification: Every AI-generated claim is traceable and confirmed before it informs a real decision — never accepted at face value.
• Bias detection: I actively ask whose data trained this system, and whose experience might be missing, distorted, or underrepresented as a result.
• Narrative preservation: Behind every data point is a patient, a family, a community. AI should sharpen that picture, never flatten it.
• Minimum necessary access: Drawing on HIPAA’s “minimum necessary” standard, I give AI only what it needs to do its job — nothing more.
• Human accountability: AI accelerates my thinking; it never replaces my judgment. The final call is always mine to own.

This framework comes from lived experience — years spent in compliance and child welfare systems where the cost of getting it wrong was never abstract. As AI becomes part of how healthcare organizations operate, I believe the leaders who matter most will be the ones who treat ethics not as a checkbox, but as the foundation the entire system stands on.