resources

Welcome to our “resources” page – this is in no way exhaustive – and we’ll be updating the content regularly. Please send any ideas and updates to aihuborg[at]gmail.com.

Seminars

List of seminars for 2026
List of seminars for 2025
List of seminars for 2024
List of seminars for 2023
List of seminars from 2022
List of seminars from 2020 and 2021
List of organisations that run regular seminars on machine learning and artificial intelligence

Courses and tutorials

Elements of AI
Fast.ai
Google AI Education
Intro to Artificial Intelligence – Udacity
Intro to Deep Learning – Google via Udacity
Machine Learning Course – Stanford
Machine Learning Course – Columbia
Foundations of Machine Learning – Delta Analytics

Lecture series and talks

Reinforcement learning lectures, a lecture series by Emma Brunskill, Stanford University
Multi-task and meta-learning, a lecture series by Chelsea Finn, Stanford University
Information theory, pattern recognition, and neural networks, a lecture series by the late David MacKay, University of Cambridge
Machine learning course, by Nando de Freitas, taught at the University of Oxford
Why reinforcement learning is the next big thing in AI, a talk at the India Science Festival by Balaraman Ravindran, Indian Institute of Technology Madras
A series of talks for students, organised by the Youth AI Lab and the OpenCode Foundation
UC Berkeley’s Fall 2020 deep reinforcement learning course
School of AI The Netherlands – a combination of self-study and webinars. You can watch the past events here.
MIT introduction to deep learning – 2021 lecture series given by Alexander Amini and Ava Soleimany
Data Science Nigeria – lectures and tutorials from the 2020 AI bootcamp
Basics of mobile robotics, an introductory course by Kshitij Tiwari
Introduction to Deep Learning, a lecture course with tutorials and exercises, from Matthias Niessner

Podcasts

Radical AI is a podcast featuring the voices of the future in the field of Artificial Intelligence Ethics. Hosted by Dylan Doyle-Burke and Jessie J Smith
The GRACE podcast. This podcast accompanies a new student-run AI Ethics Journal at Stanford
Machine Ethics Podcast is hosted by Ben Byford and features interviews with academics, authors, business leaders, designers and engineers
The Good Robot is a podcast which explores the many complex intersections between gender, feminism and technology. Hosted by Eleanor Drage and Kerry Mackereth
Computing Up, conversations about computation writ large, with Michael Littman and Dave Ackley
Futuremakers, from the University of Oxford and hosted by Peter Millican. Series one focused on AI
TWIML AI is a podcast hosted by Sam Charrington and brings some of the top minds and ideas from the world of ML and AI
Engineering Out Loud from Oregon State University. Seasons nine and thirteen focused on robotics and AI
Living with AI is a podcast from the UKRI Trustworthy Autonomous Systems Hub. It considers key issues that arise when building, operating, and using machines and apps that are powered by artificial intelligence

Ethics

The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems
Ethics Guidelines for Trustworthy AI
OECD Principles on Artificial Intelligence
Check Alan Winfield’s running list for an up-to-date overview
The AI ethics reading list is a compilation of books, papers, and resources recommended by AI Ethicists. Hosted by AI Truth
Tutorial on fairness, accountability, transparency and ethics in computer vision by Timnit Gibru and Emily Denton
AI ethics resources compiled by Rachel Thomas on fast.ai
TWIML AI playlist on ethics bias and fairness in AI
The future of AI for social good, an AI ethics mini course by Saiph Savage. The slides are here
AI ethical guidelines and checklist, guidelines for start-ups from Torrens University

Reports and initiatives

One Hundred Year Study on Artificial Intelligence (AI100), Stanford University

Videos

AI Notes – Beril Sirmacek describes various AI concepts
Humans of AI: Stories, Not Stats – Devi Parikh talks to well-known figures in the field of AI
Expert interviews – Beril Sirmacek interviews AI experts
AI explained in 5 Levels, by IIT Madras Prof & Alumni – Balaraman Ravindran explains AI in five levels through conversations with school kids, IIT Madras students and alumni

Other AI learning resources

Better Images of AI – a new and growing collection of stock images of AI beyond cliché glowing brains and shiny robots
A to Z of AI by Gina Neff, Oxford Internet Institute, and Google UK
“Meet AI” – a scientific comic about the Human-AI story, by Falaah Arif Khan
Mirror, mirror – a comic book from Data Responsibly (Falaah Arif Khan and Julia Stoyanovich)
Fairness and friends – the second comic book in the Data Responsibly series (Falaah Arif Khan, Eleni Manis and Julia Stoyanovich).
Insights into the MLOps tooling landscape from Chip Huyen
An introduction to AI story generation by Mark Riedl
AI Art Gallery – an online collection of art, music and design using machine learning. Curated by Luba Elliott
Unite.AI – have an extensive glossary of many AI basic terms as a part of their AI 101 series
Generative AI glossary – from AIPRM
Towards Data Science – a collection of blog posts from various authors on a range of data science topics
The AIhub list of resources, articles, and opinion pieces relating to large language models