OpenThink Series
As a Dalhousie OpenThink Scholar, I write about AI reliability, ethics, and debugging for a general audience, translating research into public conversation.
AI at the Crossroads: What's Next?
Exploring the pivotal decisions shaping the future trajectory of artificial intelligence and its impact on society.
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AI Needs a Babysitter (Spoiler: It's Us)
Why human oversight remains essential for AI systems and what responsible stewardship looks like in practice.
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From Bias to Balance: Our Mission for Ethical AI
Addressing the challenge of bias in AI systems and the path towards building fair, equitable technology.
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From Flaws to Flawless: Mutation Testing in AI
How mutation testing techniques can strengthen AI systems by deliberately introducing faults to improve reliability.
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Double Trouble: The Unique Challenge of Duplicate Bug Reports
Why detecting duplicate bug reports is harder than it sounds, and what happens when the same bug wears different masks.
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Bug Hunt II: From Code to Context
Going beyond surface-level code to understand the contextual factors that make AI bugs so elusive.
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Bug Hunt: Are AI Faults Playing Hide and Seek?
An accessible look at why faults in AI systems are fundamentally different from traditional software bugs.
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Debugging Artificial Intelligence On-the-Fly: Who Needs a Break!
The reality of debugging AI systems in real-time and why even the best models need constant attention.
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Think AI is Perfect? Think Again!
Debunking the myth of flawless AI and exploring the hidden vulnerabilities lurking in deep learning systems.
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Invited posts and reflections on teaching, mentorship, and academic life.
