Ethics of AI in Healthcare: More Than Just Compliance

Artificial intelligence is no longer a future concept in healthcare — it’s here, shaping how illnesses are diagnosed, treatments personalized, and systems optimized. But while compliance with HIPAA and FDA standards ensures safety and privacy, it doesn’t answer deeper ethical questions around fairness, accountability, transparency, and patient autonomy.

In her article for Healthcare Business Today, Avantika Sharma, Global Head of Healthcare at Brillio, highlights why ethical AI in healthcare must be guided by the principles of bioethics: beneficence, non-maleficence, autonomy, justice, and accountability. These principles move AI beyond efficiency, ensuring it truly improves patient outcomes, minimizes harm, protects dignity, and works equitably across diverse populations.

Avantika stresses the importance of explainability in AI systems, especially in high-stakes clinical decisions, and the need for diverse, representative training data. She also calls for continuous ethical oversight through dedicated review committees that can monitor AI performance over time and intervene when risks emerge.

At Brillio, we believe AI should amplify the human side of healthcare — fostering trust, inclusivity, and empathy while supporting clinicians and empowering patients.