Ethical & Responsible AI in Healthcare

January
22
2026 (Thursday)
Time 10:00 AM PST | 01:00 PM EST
Duration: 60 Minutes
4 Days Left To REGISTER
Id: 211581
Instructor
Ayush Goyal  
Live
Recorded
Live + Recorded

Overview

This webinar provides healthcare leaders with an in-depth understanding of how to deploy AI ethically and responsibly. It covers the core principles of responsible AI, real-world failure cases, regulatory expectations, clinical governance models, and best practices to mitigate risk. Through practical examples, it illustrates how healthcare organizations can innovate with AI while safeguarding patient privacy, safety, fairness, and trust.

Why you should Attend

  • To understand where AI introduces ethical risks in clinical, operational, and patient-facing workflows.
  • To learn how to ensure fairness, transparency, safety, and accountability in healthcare AI systems.
  • To get ahead of evolving regulations like the EU AI Act, HIPAA, DPDP Act, FDA guidelines, and global ethical standards.
  • To explore how responsible AI can build patient trust, reduce liability, and improve clinical outcomes.
  • To walk away with a practical governance and implementation framework for healthcare organizations.

“In healthcare, an unreliable AI system doesn’t just impact efficiency- it can impact human lives. The biggest risk isn’t adopting AI too fast, but adopting it without the ethical guardrails to protect patients, clinicians, and organizations.”

Areas Covered in the Session

  • The Promise & Risk of AI in Healthcare
  • Principles of Responsible Healthcare
  • Regulatory & Compliance Landscape
  • Ethical Challenges in Real-World Healthcare AU
  • Technical & Operational Safeguards
  • Implementing Responsible AI in Healthcare Workflows

Who Will Benefit

  • CEO's
  • CMO's (Chief Medical Officers)
  • CIO's
  • Chief Digital Officers
  • Chief Data & AI Officers
  • Chief Privacy Officers
  • Chief Compliance Officers
  • Chief Nursing Officers
  • Heads of Clinical Governance
  • Heads of Quality & Patient Safety
  • Heads of Digital Health
  • Healthcare IT & Data Leaders
  • Public Health & Regulatory Leaders

Speaker Profile

Ayush Goyal is a trusted thought partner, BI & AI leader and fully hands-on developer for senior client leadership teams from Fortune 500 group of companies across US, UK, Europe, Japan and India.

He comes with 12 years of experience working with senior client leadership worldwide to create end to end data analytics solutions in sales & marketing, finance and HR functions. He is a subject matter expert in the fields of Data Science, GenAI, Business Intelligence and Machine Learning.

He is a Microsoft Certified Trainer and Microsoft Certified in multiple areas like Power BI, Azure AI, Power Platform, and have trained more than 50,000 professionals and students in the past 8 years on multiple tools and technologies.
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