Webinar

Responsible AI in Clinical Trials: Building Trust through Human Oversight

Learn how risk-based human oversight frameworks strengthen trust, transparency, accountability, and regulatory alignment across AI-enabled clinical trial workflows.

December 16, 2025 On-Demand

Responsible AI in Clinical Trials webinar featuring Laxmiraju Kandikatla and Rajesh Hagalwadi on December 16, 2025

About this webinar

AI is transforming clinical trials, but increased automation also raises important questions about trust, transparency, human accountability, data integrity, and regulatory compliance.

This webinar introduces a risk-based oversight framework that keeps human intelligence central to AI-enabled workflows, including data validation, predictive modeling, and risk detection.

The session explores Human-in-the-Loop, Human-on-the-Loop, and Human-in-Command models, with practical strategies for building Responsible AI systems that support accurate decisions and align with global regulatory expectations.

Key takeaways

Understand how to implement risk-based oversight frameworks in AI-enabled clinical environments.
Learn to design and validate Responsible AI systems that comply with global regulatory expectations.
Discover how human oversight enhances trust and decision accuracy in AI-driven workflows.
Explore practical steps for aligning AI initiatives with quality, compliance, and patient safety goals.

Watch On-Demand

Get instant access to practical insights on using AI to strengthen clinical data oversight, manage risk, and accelerate decisions.

Speakers

Laxmiraju Kandikatla

MPharm, CQA, CSV Lead, Maxis AI

Laxmiraju Kandikatla brings 13+ years of experience across life sciences, pharmaceutical, and clinical research sectors. As CSV Lead at Maxis AI, he leads validation and compliance frameworks for clinical research systems, with hands-on experience across GAMP 5 Categories 3, 4, and 5. He holds an M.Pharm from NIPER and is an ASQ-Certified Quality Auditor, with expertise in GxP, 21 CFR Part 11, EU Annex 11, and FDA guidance.

Rajesh Hagalwadi

Director, Clinical Solutions, Maxis AI

With over 12 years in Life Sciences and Pharma, Rajesh is leading AI-driven solutions across clinical data management, Biometrics, RBQM, and GxP workflows. He specializes in clinical data analytics, AI governance, and solution architecture, applying agentic AI across clinical research. Rajesh leads proof-of-value engagements with Pharma, Biotech, and CROs, enabling validated, production-ready AI solutions and responsible adoption in regulated environments.