

Risk Based Testing in the Age of AI | New York - Testers Meetup
The Test Tribe 5th New York Meetup – Risk-Based Testing in the Age of AI: What Changes, What Doesn’t
AI is accelerating how software is built-but it doesn’t change the fundamentals of good testing.
In fact, it makes them more important than ever.
Risk-based testing has long been a proven approach for delivering value under real-world constraints. In this session, Jess Ingrassellino explores how AI and automation align naturally with risk-based testing-not as replacements for strong testing practices, but as powerful force multipliers.
As development speed increases dramatically with AI tooling, testers must be even more deliberate about identifying risk early, communicating it clearly, and making informed decisions about what will and will not be tested. This talk focuses on how AI can strengthen each stage of that process-while keeping human judgment firmly at the center.
Expect a practical, grounded discussion that separates real value from hype and shows how AI can support smarter, more intentional testing.
Event Details
Date: 28th January 2026 (Wednesday)
Time: 6:00 PM – 8:00 PM (Local Time)
Venue: 307 W 38th St, Studio 1401, New York, NY 10018, USA
Session: Risk-Based Testing in the Age of AI: What Changes, What Doesn’t
Speaker: Jess Ingrassellino
Key Takeaways
Why risk-based testing remains essential-even in AI-accelerated teams
How AI strengthens (not replaces) strong testing fundamentals
Ways AI can help identify, document, and communicate risk earlier
Practical examples of AI-assisted test data generation and coverage analysis
How AI supports exploratory testing and evolving risk models
Where human judgment remains irreplaceable in quality decisions
What You’ll Learn
Jess will walk through the core risk-based testing method, including how teams:
Identify and evaluate risk early
Communicate risk across engineering and product teams
Document testing scope within time and cost constraints
She’ll also demonstrate how AI tools can support this process by:
Generating structured and semi-structured test data
Drafting risk summaries, test matrices, and coverage tables
Analyzing UI code to suggest stable automation locators
Producing automation boilerplate engineers can refine
Highlighting non-obvious edge cases
Supporting exploratory testing documentation
Continuously refining risk models as requirements evolve
About the Speaker
Jess Ingrassellino is a leader, educator, and musician driven by a passion for growth, creativity, and meaningful change. Her career spans technology, education, and the arts-each grounded in a belief in lifelong learning and equitable impact.
She holds four advanced degrees, including a Doctorate in Educational Assessment, and is currently pursuing her fifth degree in Software Engineering. As an engineering leader, Jess specializes in building high-impact teams, solving complex problems, and driving strategic initiatives.
As an educator, she has developed curricula, taught Python to students aged 8–18, and trained teachers to integrate technology in thoughtful, inclusive ways. As a professional violinist, she uses music as a medium for reflection and connection.
Across all her work, Jess is committed to authenticity, equity, and helping individuals and organizations grow with intention.
Why You Should Attend
Learn how AI enhances risk-based testing without undermining fundamentals
Gain clarity on where AI adds real value in QA workflows
See how to balance speed, coverage, and quality in AI-accelerated teams
Hear a thoughtful, experience-driven perspective-free from hype
Connect with New York’s QA and testing community at the 5th NYC meetup
About The Test Tribe
The Test Tribe is the world’s largest software testing community, empowering testers globally since 2018. With 700+ events and 150K+ members across 130+ countries, we bring testers together to learn, grow, and connect through meetups, conferences, cohorts, masterclasses, and more.
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