Validations: Governance & Security
Common Governance Gaps—and Fixes Common Governance Gaps—and Fixes in AI/ML Model Validation Introduction to AI/ML Model Validation in Pharma The use of Artificial Intelligence (AI) and Machine Learning (ML) models in pharmaceutical contexts has surged, offering remarkable potential for improving analytics, clinical trials, and patient safety. However, the implementation of these technologies is accompanied by numerous governance challenges that may…
Global vs Local Governance Rules Global vs Local Governance Rules: A Step-by-Step Guide to AI/ML Model Validation in GxP Analytics In the evolving landscape of the pharmaceutical industry, artificial intelligence (AI) and machine learning (ML) are becoming increasingly integrated into Good Practice (GxP) analytics. As organizations implement these technologies, they must navigate the complexities of governance and security to comply…
Lessons from Regulator Signals on AI Lessons from Regulator Signals on AI Introduction to AI/ML Model Validation in GxP Analytics The integration of Artificial Intelligence (AI) and Machine Learning (ML) in Good Automated Manufacturing Practice (GxP) analytics has transformed the pharmaceutical industry. The application of these technologies introduces both opportunities and challenges with respect to regulatory compliance. The aim of…
Peer Review Checklists for Governance Peer Review Checklists for Governance in AI/ML Model Validation The integration of Artificial Intelligence (AI) and Machine Learning (ML) in Good Practice (GxP) analytics presents unique challenges and opportunities in the pharmaceutical industry. This article serves as a comprehensive guide for implementing peer review checklists designed to strengthen governance surrounding AI/ML model validation. By ensuring…
Executive One-Pagers: Why Governance First Executive One-Pagers: Why Governance First Understanding AI/ML Model Validation in GxP Analytics In the evolving landscape of pharmaceuticals and biotechnology, the integration of artificial intelligence (AI) and machine learning (ML) is transforming data analytics processes. As organizations increasingly rely on these technologies for predictive analytics, the validation of AI/ML models becomes paramount. This validation process…
Board/Management Reviews of AI Programs Introduction to AI/ML in GxP Analytics Artificial Intelligence (AI) and Machine Learning (ML) are rapidly evolving technologies that are transforming the landscape of pharmaceutical development and regulatory compliance. As organizations increasingly integrate these technologies into their operations, it becomes crucial to establish stringent governance and security frameworks to ensure their effective utilization. In this article,…
KPIs for AI Governance & Security KPIs for AI Governance & Security In recent years, the pharmaceutical industry has embraced the potential of artificial intelligence (AI) and machine learning (ML) technologies to enhance drug development and streamline clinical operations. However, with these advanced methodologies come a plethora of challenges, particularly concerning governance and security. Understanding the Key Performance Indicators (KPIs)…
Third-Party Attestations: SOC2/ISO in AI Context Third-Party Attestations: SOC2/ISO in AI Context In the evolving landscape of artificial intelligence (AI) and machine learning (ML) within Good Practice (GxP) environments, understanding the significance of third-party attestations is paramount. In this comprehensive guide, we will explore the critical elements encompassing risk, AI ML model validation, intended use risk, data readiness curation, bias…
Risk Registers Specific to AI in GxP Analytics The incorporation of Artificial Intelligence (AI) and Machine Learning (ML) into Good Automated Manufacturing Practice (GxP) analytics raises a multitude of considerations for pharmaceutical professionals. As organizations adopt these technologies, understanding how to manage risks associated with AI/ML model validation is paramount. This article provides a step-by-step guide on creating effective risk…
Templates: Governance Charters & SOPs for AI/ML Model Validation in GxP Analytics Introduction to AI/ML Model Validation in GxP Analytics The rise of Artificial Intelligence (AI) and Machine Learning (ML) technologies in the pharmaceutical sector brings significant promise but also challenges, particularly in ensuring compliance with Good Automated Manufacturing Practice (GxP) standards. Regulatory bodies such as the FDA, EMA, and…