When machines test themselves, who’s still testing the meaning? | Toronto Meetup
The Test Tribe 8th Toronto Meetup – When Machines Test Themselves, Who’s Still Testing the Meaning?
As AI becomes more deeply embedded in both our products and testing processes, the question isn’t just “What can AI do for QA?” - it’s “How do we preserve meaning, judgment, and responsibility when machines are generating, deciding, and learning on their own?”
AI systems are dynamic, opaque, and often unpredictable. Testing them requires more than verifying outputs - it demands understanding why a result was produced, how it evolves, and what we choose to trust.
In this session, David Milette will explore the blind spots in current QA practices and share actionable ways to build a more relevant, ethical, and human-centered approach to quality in the age of intelligent systems. Because while AI moves fast, without us, it doesn’t know where it’s going.
Event Details
Date: 30th September 2025 (Tuesday)
Time: 6:00 PM – 9:00 PM PDT
Venue: Intuit Canada – 8 Spadina Ave. Suite 1900, Toronto, ON M5V 0S8
Session: When Machines Test Themselves, Who’s Still Testing the Meaning?
Speaker: David Milette
Session Overview
As AI becomes more embedded in our products - and even in our testing processes - the key question is no longer “What can AI do for QA?” but rather: How do we preserve meaning, judgment, and responsibility when machines are generating, deciding, and learning on their own?
AI systems are dynamic, opaque, and often unpredictable. Testing them requires more than checking functional output - it means understanding why a result was produced, how it evolves, and what we choose to trust. And more importantly: who stays in control?
When AI automates assertions, generates test cases, or identifies critical paths, we risk losing what humans bring to the table: intuition, lived experience, empathy, and the ability to question what’s missing. Are our tools reinforcing our biases? Are our scripts blind to what truly matters for users?
In his talk, David will explore the blind spots in current QA practices and share actionable ways to build a more relevant, ethical, and human-centered approach to quality in the age of intelligent systems. AI moves fast. But without us, it doesn’t know where it’s going.
Key Takeaways
Why testing AI requires more than checking functional outputs
The human strengths we risk losing in automation-heavy QA
How to identify blind spots and biases in AI-driven testing
Practical strategies for ethical and human-centered quality
About the Speaker
David Milette is the cofounder and Chief Technology Evangelist of SQALogic, DevOps Advisory Board Content Chair at DevNetwork, and an advisor to the cybersecurity and data governance law firm Henry and Wolf. With a career spanning more than two decades, David is passionate about helping organizations optimize their IT processes and deliver high-quality, scalable software solutions that meet both customer needs and evolving market demands.
His expertise has been sought by global leaders such as Compuware, Mercury Interactive, HP, Worksoft, Tricentis, Delphix clients to ensure their automation, testing, and quality assurance practices are not only efficient but also strategically aligned with their broader business objectives. His expertise has been sought by global leaders such as Compuware, Mercury Interactive, HP, Worksoft, Tricentis, Delphix, and SAP, where he has held roles ranging from QA engineering and project management to high-level strategic advisory positions.
Why You Should Attend
Learn how to adapt QA practices for intelligent, evolving systems
Explore the balance between automation, trust, and human judgment
Gain actionable strategies to keep quality relevant in the AI era
Connect with the Toronto QA and tech community for insights and networking
About The Test Tribe
The Test Tribe is the world’s largest software testing community, empowering testers globally since 2018. With 400+ events and 120K+ members across 130+ countries, we bring software testers together to learn, grow, and connect through expert-led courses, membership programs, cohorts, and community events.
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