Useful links
Datasets
Here is a list of websites with datasets relevant to class concepts, enhancing your skills and intuition in data analysis.
Small-to-medium datasets, very student-friendly
Larger datasets
- OpenML, integrates directly with scikit-learn
- PMLB (Penn Machine Learning Benchmarks)
Competition(s)
- Kaggle Datasets
- Kaggle, a platform owned by Google, serves as an online community tailored for data scientists and machine learning practitioners. It facilitates participation in data science competitions, collaboration on various projects, and provides access to diverse datasets. Additionally, users can build models using its web-based tools.
- Public datasets from Kaggle or the web are not automatically reliable simply because they are easy to access, widely shared, or used in published papers. Recent reporting has shown that some widely used health datasets contain unrealistic or dubious values, which can lead to invalid analyses and misleading AI models. Students should critically evaluate dataset provenance, documentation, and plausibility before use, and avoid relying on unverifiable datasets for serious academic work.
- Basu, M. (2026, April 15). Dozens of AI disease-prediction models were trained on dubious data. Nature.
- Gibson, A. D., White, N. M., Collins, G. S., & Barnett, A. G. (2026, February 26). Evidence of unreliable data and poor data provenance in clinical prediction model research and clinical practice (preprint). medRxiv.
- ML Contests
- ML Contests is a curated directory of active, upcoming, and past machine learning, data science, and robotics competitions, with filters by technique, application domain, platform, and prize pool. It helps practitioners quickly discover relevant challenges across major platforms.
- The State of Machine Learning Competitions: 2025 Edition: The report can help you see which frameworks, libraries, and modelling approaches are most widely used in top-performing solutions, grounding your learning in current practice. It also provides insight into realistic workflows, compute budgets, and evaluation standards in competitive machine learning.
Jobs
- How AI Is Eroding the First Rung of the Tech Job Ladder, Bloomberg Tech, posted on YouTube on 2026-09-04.
- There will be no AI jobpocalypse, The Batch, Andrew Ng, 2026-05-08.
- At $250 million, top AI salaries dwarf those of the Manhattan Project and the Space Race, Ars Technica, Aug 1, 2025.
- Shopify CEO says no new hires without proof AI can’t do the job, The Verge, by Jay Peters, Apr 7, 2025.
- Canada’s AI Ecosystem: A Brief Overview of In-Demand Skills and Trends, by ICTC, April 1, 2025.
- AI software engineers make $100,000 more than their colleagues. Quartz. Updated May 23, 2024.
- Canada leads the world in AI talent concentration. Deloitte Press Release. September 23, 2023.
- Don’t fear AI. It will lead to long-term job growth. World Economic Forum, October 26, 2020.
- Talent and workforce effects in the age of AI. Deloitte Insights, March 3, 2020.
Podcasts
- Santa Fe Institute, Complexity Podcast, The Nature of Intelligence, published from September to December 2024
- Are We Thinking Correctly About AI Intelligence? The Joy of Why, published on 2026-08-20
- Google DeepMind: The Podcast
- Machine Learning Street Talk
- Google: The AI Company, Acquired, Fall 2025, Episode 1
AI for Good
- Responsible AI, a Canadian AI event
- AI for Good
- We’re Doing AI All Wrong. Here’s How to Get It Right, TED Talk by Sasha Luccioni, 10m 31s, 2025-12-01.
Ethics
- Evitable - informing and organizing the public around societal-scale risks and harms of AI
- Gibney, E. (2026). AI doom warnings are getting louder. Are they realistic? Nature, 652(8111), 848–850.
- We have a ‘12 to 24-month period’ to forge a pro-human future, warns AI ethicist Bianna Golodryga, CNN, 2026-04-08
- ‘We have to stop it taking over’ - the past, present and future of AI with Geoffrey Hinton, Royal Institution, 2025-08-26.
- AI2027: Is this how AI might destroy humanity?, BBC World Service, 2025-08-01
- What Happens When Robots Don’t Need Us Anymore?, Bloomberg, 2024-11-11
- Stop Autonomous Weapons (2017) Slaughterbots, 2025-03-06
- Slaughterbots - if human: kill()
- BBC AI Decoded - Stephanie Hare interview Yoshua Bengio
Hype
- 12 Graphs That Explain the State of AI in 2025 in IEEE Spectrum
- 15 Graphs That Explain the State of AI in 2024 in IEEE Spectrum
- It’s Here: The 2024 Gartner AI Hype Cycle (video)
- ChatGPT passes the famous ‘Turing test’ - suggesting the AI bot has intelligence equivalent to a human, scientists claim in Daily Mail, 2024-06-21.
- AI’s Turing Test Moment GPT-4 advances beyond Turing test to mark new threshold in AI language mastery. Psychology Today, 2024-05-17.
- The most recent version of ChatGPT passes a rigorous Turing test, diverging from average human behavior chiefly to be more cooperative. Standford, School of Humanities and Sciences. 2024-02-22.
- AI: great expectations by Rodney A. Brooks, in Manufacturing Engineeinrg, March 1988, p. 148.
- AI and the Popular Press by Melanie Mitchell, in Popular Computing, March 1985, p. 23.
Popularization
- The Thinking Game (2024)
- The Age of A.I. An 8 parts YouTube Originals, 2019-12-18
- “The Thinking Machine” (1961) - MIT Centennial Film
Science
Professional societies
Conferences
Journals
Fun
- Adapted from: Mitchell, M. (2025). Artificial intelligence learns to reason. Science, 387(6740):eadw5211.
- Adapted from: Why AI can’t spell ‘strawberry’
- Adapted from: Gary Marcus’s post on X 2024-02-08:
GOODY-2, the most responsible AI model, and its model card.
