Let's Talk Risk! with Dr. Naveen Agarwal
Let's Talk Risk! with Dr. Naveen Agarwal

LTR 134: James Pink on Responsible AI and Future of MedTech Safety

28 November 2025 29:11 Casual and informal conversations about practical aspects of medical device risk management.

Listen to episode

About this episode

Summary

“With great power comes great responsibility. The innovation in AI is incredible, but our assurance models must catch up if we’re to keep patients safe”

In this thought provoking Let’s Talk Risk! conversation, host Dr. Naveen Agarwal welcomes James Pink, a global leader in medical device safety, risk, and regulatory strategy. James shares his deeply personal journey, from clinical engineering and auditing, to his life-altering health experience that reinforced his passion for patient safety.

Together they unpack how artificial intelligence is transforming healthcare innovation, the gaps in current assurance models, and the urgent need for literacy, accountability, and human-in-the-loop oversight.

The discussion highlights contrasts between EU and U.S. regulatory approaches, the concept of AI assurance, and why quality professionals must evolve from compliance guardians to informed custodians of safety in an AI-enabled world.

Listen to the full 30-minute podcast or jump to a section of interest listed below.

Chapters

00:00 Welcome & Introduction

02:00 A Personal Story

05:00 AI’s Transformative Power

07:00 Regulatory Divergence

11:30 Understanding AI Assurance

15:00 Raising AI Literacy

18:00 The Human-in-the-Loop Imperative

23:00 Guardrails & Accountability

26:00 Key Takeaways & Closing

If you enjoyed this podcast, consider subscribing to the Let’s Talk Risk! newsletter.

Suggested links:

LTR: Building Trustworthy AI and MedTech Readiness.

LTR: Proactive AI Governance in MedTech.

ACHIEVE Workshop: Using ChatGPT to Analyze Recalls and Adverse Events.

Key Takeaways

* Patient-safety passion often begins with personal experience — and sustains professional purpose.

* AI innovation is racing ahead of our assurance and measurement systems.

* The EU and U.S. regulatory models reveal opposite extremes; balance and shared responsibility are essential.

* “AI literacy” should become a core competency for all QA/RA professionals.

* Assurance in AI demands new tools, standards (e.g., ISO 42001, 22989), and human judgment.

* Human oversight is indispensable: vigilance prevents overreliance and hubris.

* Safety frameworks must evolve as fast as the technologies they govern.

* Communities like the AI Safety Officer Network will drive the next era of responsible innovation.

Keywords

AI safety, medical device risk management, patient safety, regulatory strategy, ISO 42001, human-in-the-loop, responsible innovation, AI assurance, EU AI Act, risk literacy

About James Pink

James Pink is a leading voice in medical device safety and risk management with over 25 years of global experience spanning clinical engineering, notified bodies, and regulatory consulting.

He is the Managing Partner at James Pink Advisory Services and Module Leader for Data Management and Digitalisation in Regulatory Affairs at TOPRA.

A respected educator and expert witness, James has trained thousands of professionals worldwide and previously held senior leadership roles at Element Materials Technology and NSF International. He also founded the Medical Device Safety Risk Management and AI Safety Officer groups on LinkedIn, fostering global collaboration on responsible innovation and patient safety.

Let’s Talk Risk! with Dr. Naveen Agarwal is a weekly live audio event on LinkedIn, where we talk about risk management related topics in a casual, informal way. Join us at 11:00 am EST every Friday on LinkedIn.

Disclaimer

Information and insights presented in this podcast are for educational purposes only, and not as legal advice. Views expressed by all speakers are their own and do not reflect those of their respective organizations.

Parts of this article were created using AI-generated content, which was subsequently reviewed, edited, and fact-checked by the author to ensure accuracy and alignment with our standards.



This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit naveenagarwalphd.substack.com/subscribe

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 Let's Talk Risk! with Dr. Naveen Agarwal. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.