ΑΙhub.org
Elements of AI – Free online courses for everyone
Elements of AI is a series of free online courses created by Reaktor and the University of Helsinki to encourage as broad a group of people as possible to learn what AI is, what can (and can’t) be done with AI, and how to start creating AI methods. The courses combine theory with practical exercises and can be completed at your own pace.
Courses include:
What is AI?
AI problem solving
Real world AI
Machine learning
Neural networks
Implications
You can take the course for free here.
Sabine Hauert
is Associate Professor at the University of Bristol, and Executive Trustee of AIhub.org
Sabine Hauert
is Associate Professor at the University of Bristol, and Executive Trustee of AIhub.org
AUAI is supported by:
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monthly digest
AIhub monthly digest: October 2026 – neurosymbolic planning, time-series forecasting, and robots for the home
Lucy Smith
30 Oct 2026
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
AI pioneers
From teaching machines to teaching people: an interview with Michael Littman
Ella Scallan
29 Oct 2026
AI Pioneer Michael Littman reflects on the evolution of reinforcement learning, the power of science communication, and how generative AI is changing the way we teach and learn.
From lab to life: Why translating AI advances to the real world is a major challenge
The Conversation
28 Oct 2026
Systems that perform well in controlled lab settings often fall short when deployed in homes, in hospitals or on city streets.
Researchers get AI ‘drunk’ to expose new cyber security risks in chatbots
University of New South Wales
27 Oct 2026
Fine-tuning large language models using drunken text makes them more likely to leak secrets and answer harmful questions.
AI is creating jobs as well as erasing them – but how rewarding are they?
The Conversation
26 Oct 2026
One area of increased employment is in people “cleaning up” after LLMs, or quality controlling them.
How AI changes human decision-making
Linköping University
23 Oct 2026
AI can identify patterns that people miss and bring new information into decision-making. However, this does not automatically lead to better decisions.
Competing in RoboCup@Home and winning the 2026 best paper award: an interview with Raphael Memmesheimer
Lucy Smith
22 Oct 2026
Hear more about Raphael's research and his involvement in the RoboCup@Home league.
AI is distorting archaeology and flattening Indigenous Knowledge
Pursuit, University of Melbourne
21 Oct 2026
While AI can help archaeologists, it can also spread pseudoscientific claims and false histories, stripping Indigenous Knowledge of context, consent and community control.
