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The Three Pillars
Every AI system is a social artifact. It reflects the values of those who built it, the data it was trained on, and the incentives that shaped its design. This week we examine the three ethical fault lines that show up most reliably in practice: bias, privacy, and ownership.
Participants should arrive with a working sense of the three pillars and at least one real example from their own context in mind.
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Name the Bias: Kris Krüg, 2026 - A practitioner's lens on identifying and naming AI bias in real contexts.
Name the Bias - Kris Krüg | Generative AI Tools & Techniques
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Ensuring Trustworthy AI through AI Testing (Fundamentals): IBM - Spend 10 minutes exploring how fairness metrics work in practice. Hands-on entry point into bias measurement and mitigation. AI application testing fundamentals.
Ensuring Trustworthy AI through AI Testing
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Data Ethics Canvas: Open Data Institute - A plain-language worksheet [direct PDF download link] for ethical review of data projects.
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Human attention and AI: MIT News, 2025 - Interactive data visualization tools that prioritize human agency. Explores how design shapes attention and decision-making.
A human-centered approach to data visualization
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Copyright & Creative Work
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Copyright and Artificial Intelligence, Canadian outlook: Library of Parliament, 2025 - A short orienting read on the copyright and ownership question specific to Canadian context and ongoing discussion.
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Privacy & Consent
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Image Risks: Meet Ella — Without Consent - A video resource on the real-world risks of sharing images without consent and AI-generated identity misuse.
https://www.youtube.com/watch?v=_XFZNtFunpA
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Canada's Algorithmic Impact Assessment: Government of Canada - A 65-question self-assessment for AI systems. Skim the structure to understand the risk-tier approach.(Optional Reading)
Algorithmic Impact Assessment tool
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PIPEDA in plain language: Office of the Privacy Commissioner of Canada - A 5-minute read on Canada's federal privacy baseline. (Optional Reading)
PIPEDA fair information principles
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