As AI becomes a key player in our tools and workflows, testing and testers need to evolve the strategies since the quality still depends on human judgment. This session focuses on the tester’s mindset and the strategies to follow in their personal + professional lives that help QA engineers make better decisions, communicate risk clearly, and build trust in what they deliver

This is a practical, human-centered talk on how to become a stronger Quality Assurance professional in an AI-accelerated environment without becoming overly dependent on tools. Focusing on the human aspect of the QA, we’ll explore the mental models and habits that separate “someone who runs tests” from “someone who owns quality.”

The key takeaways include -
Using AI as a test helper, expanding ideas, help debug and write reports, prompt pattens to generate better scenarios
QA mindset shifts for stronger testing - risk-based thinking, systems thinking, and skepticism without becoming adversarial.
Communication strategies that make QAs more human
Personal growth strategies that anyone can follow to build confidence and to be resilient
A set of repeatable daily/weekly habits (checklists, journaling prompts, review routines) to build stronger intuition and consistency.

This session will be beneficial for Quality Assurance professions in all levels, if you are wondering how the QA roles evolve with AI in the mix, this session is for you.