April 2025 Special Symposium

Artificial Intelligence: The QA Professional, Regulatory Compliance, and Future Technological Challenges

Friday, 11 April 2025  |  8:00 AM - 5:00 PM
Orlando, Florida, USA  |  Orlando Renaissance at SeaWorld
Held in conjunction with the 41st SQA Annual Meeting

 

Target Level:  Intermediate to Advanced

Suggested preparatory materials: 

• FREE Coursera Course:  AI For Everyone
  Presented by Professor Andrew Ng
  4 modules, approximately 6 hours (learn at your own pace)
  Professional, MasterTrack^®, and University certificates are available for a fee.
  
• Quality Matters Article:  AM 2024 Debriefing & AI Symposium Info
  Publication Pending — Late January 2025
• SQA Webinar:  Understanding AI/Machine Learning Based Systems - A QA Professional Overview
  21 March 2025 | 12:00 PM EDT
  Register Online    

 

Background

The regulatory industry seems to be in a perpetual "catch-up" mode regarding technological advancements. All these continual changes are reflected in the following:

• A move of computerized systems from client-servers format to web-based platforms;
• A move from on-premises data centers to cloud service provider data centers;
• A move from complex computerized systems to even more complex Artificial Intelligence models.

 

Course Description

This special symposium is a time for the QA Professionals and others to kick-start our understanding, use, and control of AI to improve regulatory compliance. This one-day symposium will include:

• Keynote speaker to address machine learning adoption in regulated industries;
• Presentations about the training the QA Professional may require supporting AI-regulated projects;
• Case studies based on existing solution providers' experience implementing AI in regulated contexts;
• Presentations about the existing regulatory frameworks governing AI system implementation and management within regulated companies;
• Case study and survey questions;
• Roundtable discussion and next steps for AI, the QA Professional, and SQA.

 

Course Outline

8:00 AM - 12:00 PM:

• Introduction, Richie Siconolfi
• Machine Learning in Manufacturing: Quality 4.0 and The Zero Defects Vision (tentative title). Keynote Speaker, Carlos A. Escobar
• What type of training does the Quality Professional need to stay current with AI?. Joe Franchetti
• Product Lifecycle and AI – Lessons Learned from Medical Devices (or similar), Atty Chakraborty
• Break
• TetraScience - Scientific AI use cases & validation, Bruce Griffin (TetraScience CSV) and Product Expert TBA
  https://www.tetrascience.com/blog/building-a-scientific-use-case-factory
• Current Regulatory Framework for AI and assessing AI Systems, Part I, Santosh Tharkude

12:00 PM - 1:00 PM: Lunch

1:00 PM - 5:00 PM:

• Current Regulatory Framework for AI and assessing AI Systems, Part II, Santosh Tharkude
• Ethical Considerations AI, Ashley Moore
• Case Studies and Survey Questions, Speaker TBA
• Break
• Open Discussion, Moderators: Richie Siconolfi and Ricardo Torres-Rivera
• Symposium Wrap-up & Next Steps, Richie Siconolfi and Ricardo Torres-Rivera