In this episode of PLATO Panel Talks, host Mike Hrycyk is joined by Jesslyn Dymond (TELUS) and Jason Kicknosway (PLATO) to explore what it really takes to build trustworthy, responsible AI systems.
From first-time AI testing to real-world implementation, Jason shares how PLATO testers learned to work with AI and how quickly they discovered the importance of nuance, prompting, and diverse perspectives when evaluating performance.
With trust in AI still low, Jesslyn brings a governance lens to the conversation, highlighting the need for transparency, explainability, and inclusive design, especially the integration of Indigenous perspectives, which are often missing from mainstream AI models.
Whether you’re just starting your AI journey or already building with it, this episode offers a practical, human-centred look at AI testing, trust, and responsible innovation—and why better outcomes start with more voices at the table.
Episode Transcript here
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