Featured events

We run a number of artificial intelligence related events and workshops throughout the year.

Featured event

The AI Seminar Series will explore relevant topics in artificial intelligence and invite industry speakers and researchers to share their knowledge, experience and success.

Featured event

In the interactive Ask Me Anything Series, a panel comprising of experts will explore relevant topics in artificial intelligence from different perspectives, and answer questions raised by registered participants in the form of a webinar.

Featured event

The Summer of AI events are available to UQ Students and Staff only. For more information contact Dr. Shakes Chandra on shekhar.chandra@uq.edu.au.

Ask Me Anything about what we can predict from social media with AI

2 March 2022 3:00pm
Ever wondered how social media impacts on our society? Be part of this riveting Ask me anything session to get your answers.
AI stock graphic

2021 UQ Workshop on Artificial Intelligence

10 December 2021 9:00am5:00pm
Artificial Intelligence (AI) is receiving widespread attention around the world, and this workshop brought academics and research from around UQ together to share knowledge, explore synergies and develop collaborations around AI.

Personalised care of musculoskeletal pain: The potential of AI

1 December 2021 4:00pm5:00pm
Musculoskeletal pain conditions, including low back pain, are the leading cause of disability internationally. Recent work has begun to expose features that have the potential to guide personalisation of treatment, but the challenge to disentangle the complexity of the condition is immense. Artificial intelligence will need to play a role.

Ask Me Anything about Face Recognition

19 October 2021 4:00pm6:00pm
What is your question about Face Recognition? We'll have the answer at this Ask me anything session.

Bridging the Gap between Text and Knowledge

12 October 2021 4:00pm5:00pm
Sophia Ananiadou will describe NLP methods for the extraction of structured representations from text for downstream applications while addressing challenges of information extraction tasks.

Fairness, interpretability and diverse datasets are not enough – getting specific about algorithmic bias

15 July 2021 3:00pm4:00pm
The concept of "biased data" is often too generic to be useful.  Through a series of cases studies, we will explore what algorithmic bias is, different types (with different causes), and debunk some common misconceptions.  We will cover why algorithmic bias is a problem worth addressing and some steps towards solutions.