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Human-in-the-Loop (HITL) in GMP: Maintaining Human Oversight of AI-Assisted Decisions

Human-in-the-Loop is not simply having a person present. Effective HITL requires meaningful human oversight, defined decision authority, documented intervention, traceability, and lifecycle monitoring proportional to GMP risk.

4.5(0 reviews)
1 hourWednesday, October 21, 2026
Dr. Ginette Collazo

Instructor

Dr. Ginette Collazo

Industrial-Organizational Psychologist & GMP Human Performance Expert

What You'll Learn

Define Human-in-the-Loop in a GMP environment
Determine when human review of AI output is necessary
Establish clear authority to accept, reject, or override AI recommendations
Document human decisions and AI-assisted actions
Apply HITL controls using a risk-based and lifecycle approach
Maintain data integrity and traceability when AI supports GMP decisions
Generate inspection-ready evidence demonstrating effective human oversight

About the event

About this event

As artificial intelligence becomes integrated into GMP operations, organizations must ensure that AI does not replace appropriate human judgment, accountability, or quality oversight. A Human-in-the-Loop (HITL) approach establishes defined points where qualified personnel review, challenge, approve, or override AI-generated recommendations.

This webinar explains how HITL can be incorporated into GMP systems to support data integrity, risk management, validation, and inspection readiness.

Code: FDB1309

Who Should Attend

Quality Assurance Quality Control Validation and Computer System Validation personnel Manufacturing and Operations Data Integrity professionals Regulatory Affairs IT and Digital Transformation teams AI/ML system owners Compliance and auditing personnel

Areas Covered

What Human-in-the-Loop Means in GMP: AI supports rather than automatically replaces critical human decisions; qualified personnel retain responsibility for GMP decisions; human intervention points should be predefined
Risk-Based Human Oversight: higher-risk AI decisions require stronger human controls; define which outputs require review or approval; establish escalation criteria for uncertain or abnormal AI outputs
Human Review and Override: personnel must be able to challenge AI recommendations; override authority and responsibilities should be clearly defined; overrides should be documented and traceable
Data Integrity: maintain traceability between AI output and the final human decision; preserve relevant inputs, outputs, approvals, changes, and overrides; ensure audit trails support reconstruction of significant decisions
Lifecycle Monitoring: monitor AI performance after implementation; periodically assess whether human oversight remains effective; review deviations, overrides, unexpected outputs, and performance trends; reassess controls when the AI system, data, intended use, or risk changes
Inspection-Ready Evidence: who reviewed the AI output, what information was reviewed, when the review occurred, what decision was made, why an AI recommendation was accepted or overridden when justification is required, and how AI performance and human oversight are monitored over time

Meet Your Instructor

Dr. Ginette Collazo

Dr. Ginette Collazo

Industrial-Organizational Psychologist & GMP Human Performance Expert

20+ years in Industrial-Organizational Psychology specializing in GMP manufacturing. Renowned expert in human error reduction and root cause analysis. Author of Human Error: Root Cause Determination Model. Founder of Human Error Solutions, a globally recognized consulting firm. Featured in Manufacturing Outlook, ABC, NBC, Fox, and CBS. In 2023, Human Error Solutions was named as a top ten industrial service provider by Manufacturing Outlook magazine and featured in ABC, Fox, NBC, and CBS news. She hosts The Power of Why Podcast—a show about human behavior in the workplace and critical thinking.

20+ Years Industrial-Org PsychologyFounder & CEO, Human Error SolutionsHost of The Power of Why PodcastManufacturing Outlook Top Provider 2023
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Single: 1 Attendee

$290.00
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Event Details

Format

Live Webinar

Duration

1 hour

Certificate

Included

Date

Wednesday, October 21, 2026

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