Trust in Healthcare AI: Ethics, Bias, and Governance With: Rajeev Ronanki
Rajeev Ronanki, CEO of Lyric, explores how to build trust in healthcare AI by addressing bias, ethics, and safety. He contrasts the unchecked rise of social media with today’s AI development, where more emphasis is placed on safeguards. Ronanki explains that biases in AI reflect human subjectivity embedded in training data, but solutions exist: testing for bias, establishing ethical guardrails, and ensuring AI models adhere to a 'do no harm' principle akin to a Hippocratic Oath. He envisions AI as a partner in care, capable of questioning unsupported treatment plans and fostering a two-way learning process with clinicians. However, this requires proactive work upfront—eliminating hallucinations, minimizing bias, and improving data quality—so AI becomes an enabler of trust rather than a risk to it.
Episode Contents:
About the Guest
Rajeev Ronanki is CEO of Lyric, where he leads efforts to develop ethical and responsible AI solutions for healthcare. He focuses on creating ecosystems that empower patients, improve equity, and reward data sharing to drive better outcomes.
Key Takeaways
- Bias in AI reflects human subjectivity and must be proactively managed
- Ethical safeguards and bias testing are essential for AI adoption
- Trustworthy AI requires upfront work on safety, data quality, and hallucinations
Transcript Summary
How can we build trust in healthcare AI?
By proactively testing for bias, embedding ethics, and creating AI principles like a Hippocratic Oath.
What role can AI play with clinicians?
AI can challenge unsupported treatment plans, enabling a two-way learning process.
What must be done first?
Eliminate hallucinations, minimize bias, and improve data quality so AI can enable trust instead of eroding it.
More Topics
- AI and Medical Innovation
- Healthcare Ethics and Policy
- AI in Patient Care
- AI in the Healthcare Industry
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About the Series
AI and Healthcare—with Mika Newton and Dr. Sanjay Juneja is an engaging interview series featuring world-renowned leaders shaping the intersection of artificial intelligence and medicine.
Dr. Sanjay Juneja, a hematologist and medical oncologist widely recognized as “TheOncDoc,” is a trailblazer in healthcare innovation and a rising authority on the transformative role of AI in medicine.
Mika Newton is an expert in healthcare data management, with a focus on data completeness and universality. Mika is on the editorial board of AI in Precision Oncology and is no stranger to bringing transformative technologies to market and fostering innovation.