What We’re Reading (and Watching): How Radiologists Are Shaping Responsible AI

For healthcare leaders, the question is no longer if AI will transform clinical practice, but how to ensure it does so responsibly. With hype and headlines swirling, clarity has never been more valuable. This month, we’re highlighting perspectives that bring that clarity: a conversation with Geoffrey Hinton (the “Godfather of AI”) on AI’s broader societal and workforce implications, an article exploring how AI is augmenting clinicians in psychotherapy, and a Rad AI–hosted webinar on separating noise from real clinical impact.

Taken together, these conversations remind us that AI’s success in healthcare won’t hinge on algorithms alone, but on the clinicians and leaders who shape how it’s innovated, governed, and measured.

1. Regulating the Revolution: Geoffrey Hinton on the Future of AI

Watch: The Diary of a CEO – “Godfather of AI: They Keep Silencing Me But I’m Trying to Warn Them!”

Often called the “Godfather of AI,” Geoffrey Hinton offers a candid perspective on the pace of AI advancement and the growing need for thoughtful regulation. In this episode of The Diary of a CEO, he discusses how industries like healthcare could see AI make clinicians far more efficient, not obsolete, by enabling greater access to care at the same cost. His insights are both a warning and a call for balance: innovation must advance in tandem with thoughtful governance to ensure safety, equity, and trust.

2. Augmenting Clinicians, Not Replacing Them: Lessons from AI in Therapy

Read: Therapy 2.0: An AI-Powered Science of Language Intervention

Across healthcare, AI’s greatest potential lies in enhancing clinical expertise, not replacing it. This MedCity News article examines how large language models can enhance the work of mental health clinicians by offering the right words, insights, and interventions at the optimal time to improve patient care. It’s a powerful reminder that when AI is designed to empower clinicians, it can make care more accurate, efficient, and strengthen patient connections.

3. Cutting Through the Noise: A Practical Framework for Healthcare Leaders Evaluating AI

Watch: Beyond the Hype: What Healthcare Really Needs from AI

Separating AI hype from real clinical value is one of the biggest challenges facing healthcare today. This Rad AI–hosted webinar brings together healthcare leaders  who have been through the AI vetting process to share what works, and what doesn’t, when implementing AI in real-world clinical settings. They discuss how to spot red and green flags when evaluating vendors, drive adoption through trust and change management, and measure outcomes that actually matter.

For radiologists and healthcare leaders, this conversation is a roadmap for moving beyond promises to measurable results. As AI adoption accelerates, a clear framework for evaluation is essential to ensuring that innovation truly improves care, efficiency, and clinician well-being.

Conclusion

As AI becomes increasingly integrated into healthcare, governance will determine whether it fulfills its promise or adds new challenges. Radiologists — who have guided every major wave of medical innovation from CT to PACS to speech recognition — are uniquely equipped to lead this next transformation. By bringing that same discipline and discernment to AI, they can ensure technology amplifies care, strengthens trust, and truly serves both clinicians and patients.