How To Balance AI Governance With Operational Realities
Hosted by Stella Liu, Amy Chen, Niharika Srivastav, and Sanjay Saxena
Fri, Apr 3, 2026
7:00 PM UTC (45 minutes)
Virtual (Zoom)
Free to join
Go deeper with a course
Fri, Apr 3, 2026
7:00 PM UTC (45 minutes)
Virtual (Zoom)
Free to join
Go deeper with a course
What you'll learn
Governance that fits real-world delivery
How to design scenario-based tests for AI systems
Setting and calibrating evaluation thresholds for production
Monitoring and control after launch
Why this topic matters
You'll learn from
Stella Liu
Head of AI Applied Science
Stella Liu is an AI Evals practitioner and researcher, specializing in evaluation frameworks for large language models and AI products.
Since 2023, she has led real-world AI evaluation projects, where she established the first AI product evaluation framework for Higher Education and continues to advance research on the safe and responsible use of AI. Her work combines hands-on product experience with academic rigor, bringing proven eval methods into both enterprise and educational contexts.
Before joining the education industry, Stella worked at Shopify and Carvana, where she built data-driven systems that powered product innovation and operational efficiency at scale.
Stella also writes an AI Evals newsletter on Substack: https://datasciencexai.substack.com/
Amy Chen
Cofounder at AI Evals & Analytics
Amy Chen is an AI product engineer with over 10 years of experience building AI-powered products from 0 to 1 since the pre-ChatGPT era.
She has a background in Computational Linguistics and Statistics, and brings deep expertise across AI/ML engineering, data science, and growth.
Amy has worked across AdTech, IoT, Conversational AI, and B2B2C environments, with a focus on building production-ready AI systems and driving go-to-market execution.
She is a Top 1% Mentor in AI/ML Engineering on ADPList and advises early-stage technology startups
Niharika Srivastav
AIGP, AI Governance Advisor, Speaker, Author
Sanjay Saxena
Chief AI Officer (Fractional), CISSP, Ex-Deloitte, KPMG, Harvard
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