AI @ UNSW

A celebration of Artificial Intelligence


1pm-5pm, Wed 16th Dec 2020


Organized by: Prof. Toby Walsh
UNSW Sydney   |   Data61   |   tw@cse.unsw.edu.au

Please join us to hear about some of the best work in AI being undertaken in Australia. Hear UNSW's newest AI professor, Mary-Anne Williams tell us about her vision for our AI future. Hear Dr. Oliver Bown tell us how UNSW helped Australia win the first AI Eurovision Song Contest. And hear many of the other leading AI researchers at UNSW discuss work they undertook this year (and published in some of the top venue like IJCAI and AAAI).

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Registration

Please register online to receive details of how to participate in this virtual event.

If you aren't able to attend, please register in any case and we will send you a link to the recording after the event.

We would have loved to have had you round to the K17 building, and to have toasted the end of the year. But 2020 is continuing to be a challenging year.

Hopefully we can have you over at the end of 2021 to celebrate then what we have achieved since this year's event.

To contact the organizers, please email Toby Walsh (tw@cse.unsw.edu.au).

Keynotes

Professor Mary-Anne Williams: Designing our AI future (video).

AI is changing our lives, our businesses, our institutions, and our society. It is challenging to predict its outcomes, and even more difficult to understand its profound risk and impact. Some research leaders like Andrew Ng say that AI will transform all industries and the global economy creating a new world order just like electricity dramatically changed everything from agriculture with refrigeration over the last hundred years, communications with the telegraph and then the computer, and transport today with the prospect of electric vehicles. What industry has not been transformed by electricity and who a hundred years ago could have predicted how it changed society and the global economy. AI like electricity is a general transformative technology. Left unregulated AI raises significant risks and presents enormous challenges. AI researchers are well placed to engage in the broader management and governance of AI, and as a highly engaged research community at UNSW we must take a leadership role in Australia and globally. This talk will highlight some of my research work in AI, Social Robotics, and Human-Robot Interaction, and then segue into a discussion about how we can design an exciting and safe AI future for all.


Dr Oliver Bown: AI and music - what problem are we trying to solve and how do we know when we've solved it? (video)

The creative applications of AI in art, music, design, literature and so on can be harder to pin down in terms of their value, compared to other areas of AI application. Indeed, it is common for people to be a little unnerved or even upset by the idea. This talk will give a brief overview of the types of approaches innovators are taking to the application of AI in music, how they mark their success, and what impacts we are beginning to see. One example I will discuss is the EuroAI prize for AI-generated music in the style of the Eurovision Song Contest, and Australia's victory, through a collaboration between music studio Uncanny Valley, UNSW and RMIT, in its inaugural event this year. Bio: Oliver Bown is associate professor at UNSW Faculty of Art and Design and co-director of the interactive media lab. He is a researcher in creative technologies, an artist and an electronic music producer.

Schedule

The event will run from 1.00pm to 5.00pm on Wednesday 16th December 2020.

Keynotes:
1.00-1.30: Designing our AI Future, Mary-Anne Williams (video).
1.30-2.00: AI and Music, Oliver Bown (video).
Session 1: videos.
2.00-2.10: Computer Generated Art, Alan Blair (EvoMusArt 2019).
2.10-2.20: Ripple-down Rules: The Alternative to Machine Learning, Paul Compton (forthcoming book).
2.20-2.30: Trustworthy AI, Toby Walsh.
2.30-2.40: Fair allocation, Haris Aziz (AAAI 2020).
2.40-2.50: Mechanism Design for School Choice, Zhaohong Sun (IJCAI-20).
Session 2: videos.
3.00-3.10: Machine Learning for Electronic Trading. Fethi Rabhi (FinanceCom 2020).
3.10-3.20: Neural Networks for Traffic Forecasting, Lina Yao (NeurIPS 2020).
3.20-3.30: Unsupervised Instance Segmentation in Microscopy Images, Yang Song (CVPR 2020).
3.30-3.40: Ensemble Feature Selection, Annette Spooner.
3.40-3.50: ML powered solar cell characterisation, Yoann Buratti.
Session 3: videos.
4.00-4.10: AI in Social Science, Alfred Krzywicki.
4.10-4.20: Robots playing Ultimatum, Eduardo Benitez Sandoval (International Journal of Social Robotics).
4.20-4.30: General Game Playing, Michael Thielscher (AAAI 2020).
4.30-4.40: Programming in Logic: from Sustainable Farms to Strategy Games, Abdallah Saffidine (AAMAS 2020 and SAT 2020).
4.40-4.50: The symbolic neural reasoning model for visual question answering in cognitive robotics, Jingying Gao.

The event will be recorded and the recording made available afterwards to people who register for the event.