Resource Library

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🧭 Dashboard · Week 1 ****· Week 2 · Week 3 · Week 4 · Resource Library

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Week 1 Reading

Week	Pre-reading	What to do before class
Week 1	AI For Everyone: The Full 1 Hour Masterclass by Andrew Ng	Watch the 60 minute video for a compressed, high level walkthrough of AI fundamentals. This sets a minimum baseline before Week 1. No coding experience required.
Week 1	NIST Generative AI Risk Profile - AI RMF: AIRC	Skim the overview, understand what NIST AI RMF is, and read the executive summary. We will return to this throughout the course.
Week 1	An Introduction - Artificial intelligence	Use this broad overview of AI history, subfields, and key concepts as a reference map before the course dives deeper.

Week 2 Reading

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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Pillar	Pre-reading	What to do before class
Bias & Fairness	Name the Bias: Kris Krug, 2026	Use this practitioner lens to identify and name AI bias in real contexts.
Bias & Fairness	Ensuring Trustworthy AI through AI Testing: IBM	Spend 10 minutes exploring how fairness metrics work in practice, including bias measurement and mitigation.
Bias & Fairness	Data Ethics Canvas: Open Data Institute	Review the plain-language worksheet as a structure for ethical review of data projects.
Bias & Fairness	DWP algorithm wrongly flags 200,000 people for fraud: The Guardian, 2024	Read as a real-world example of what goes wrong when algorithmic outputs go unexamined.
Bias & Fairness	Human attention and AI: MIT News, 2025	Look for how human-centered data visualization can support agency, attention, and better decisions.
Privacy & Consent	Canada's Algorithmic Impact Assessment: Government of Canada	Skim the 65-question self-assessment to understand the risk-tier approach for AI systems.
Privacy & Consent	PIPEDA in plain language: Office of the Privacy Commissioner of Canada	Read this 5-minute overview of Canada's federal privacy baseline.
Privacy & Consent	Privacy Laws in BC: PIPA: BC Laws	Skim BC's provincial privacy standard as a local reference for privacy and consent discussions.
Privacy & Consent	Image Risks: Meet Ella	Watch as a real-world example of AI-generated image misuse and synthetic identity risks.
Copyright	Copyright and Artificial Intelligence, Canadian outlook: Library of Parliament, 2025	Read for a Canadian orientation to copyright, ownership, and AI-generated creative work.

Week 3 Reading

Participants should arrive ready to connect systems thinking, governance, privacy, transparency, and environmental impact to real AI deployment choices.

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Lens	Pre-reading	What to do before class
Systems Thinking	Cory Doctorow on Reverse Centaurs	Watch the linked segment on acceleration and the human attention gap as framing for this week's systems thinking lens.
Governance	Policy Design in the AI Era: Sarah Downey, 2025	Read for the governance gap, the two layer policy structure, and why AI policy is a change leadership problem.
Privacy & Consent	How Long Are Privacy Policies?	Review the visualization as a prompt about meaningful consent and the human in the loop fallacy.
Transparency	Foundation Model Transparency Index: December 2025: Stanford CRFM	Explore the current state of transparency across major foundation model providers as framing for deployment ethics.
Environmental Impact	How much energy does Google’s AI use? Google Cloud	Explore how AI inference energy use is measured and reported, then connect it to deployment ethics and accountability.

Week 4 Reading

Participants should arrive ready to connect human agency, trust, attention, wellbeing, and public accountability to responsible AI practice.

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Lens	Pre-reading	What to do before class
Human Agency	Consciousness Hygiene: The Guardian · Michael Pollan, 2026	Read for the role of the human in an increasingly AI present world, and the practices that protect inner life.
Anthropomorphism	China's Approach to AI Anthropomorphism: Luiza's Newsletter	Use this as a counterpoint to Western regulatory approaches for anthropomorphic AI systems.
Sycophancy	I'm So Sycophantic: Me + Viv podcast	Watch the conversation on sycophancy as a structural feature of AI systems and what it means for how we relate to them.
Cognitive Friction	The Cost of No Friction: Reclaim Childhood Media	Read for the role of cognitive friction in identity development and what changes when AI removes it.
Trust & Literacy	Canada Lagging Global Peers in AI Trust and Literacy: KPMG Canada, 2025	Read for Canadian context on AI trust, adoption, literacy, and responsible deployment.
Human-Centered AI	Human-Centered AI: What Is Human-Centric Artificial Intelligence? Lindenwood University	Use this accessible overview to name human centered AI principles and how they show up in practice.
Public Governance	I helped build Facebook and saw it go wrong. AI is headed the same way
‣	Read as a first person account of platform incentives overriding human wellbeing, and the structural parallels with AI today.
Cognitive Load	When Using AI Leads to Brain Fry: Harvard Business Review, 2026	Read the study on intensive AI oversight and acute cognitive fatigue.