MACHINE is the theme and so much a part of our lives that many may wonder how we'd live without it. Developments in AI (artificial intelligence) has jumped in leaps and bounds with data and algorithms invading our daily lives. It engages us as individuals, communities and societies, whether as creators or consumers. From simulating our intelligence to collecting our personal data, it has become a pressing concern of our time. The Ian Potter Museum of Art invites you to jump in and engage and asks if you've ever considered how technology might promote discrimination or impair our ability to make shrewd decisions? Or wondered how an AI doctor might diagnose illness just through listening?
Food for thought and a subject about something that's going to be a large part of our future. These are just two of a host of questions that'll be considered at the MACHINE forum that'll take place over three days via Zoom from Tue 15 to Thu 17 Sep 2020. The event is FREE but you need to REGISTER. You'll find all details of timeframes, speaker details and all other information you need via the event and registration links given below.
Tue 15 Sep 2-3.15pm - Session One - The Machinery of Creativity: Indigenous Data and Computation - Co-presented with the Indigenous Data Network, Indigenous Studies Unit, Melbourne School of Population and Global Health: REGISTER HERE
Wed 16 Sep 2-3.50pm - Session Two - Algorithmic assistants and the value of getting it wrong - Co-presented with the Centre for Artificial Intelligence and Digital Ethics: REGISTER HERE
Thu 17 Sep 2-3.20pm - Session Three - Listening to the diagnostic ear - Co-presented with the Melbourne Centre for Data Science: REGISTER HERE
This is a diverse 3-day program of speakers from a range of disciplines. It'll explore a series of timely themes; investigating the interface between humanity and machine across fields of research including digital ethics, data analytics, creative writing, visual art and mathematics. MACHINE will feature a range of academics from the University of Melbourne, proposing art-making as a form of knowledge creation alongside other academic fields of inquiry.
In a nutshell, the three sessions cover the following subjects. Full details can be found via the aforementioned links.
The 1st session looks at the involvement of Indigenous Australians and their expert prior knowledge of science, engineering and computing. The idea that computational logic is an inherent part of Indigenous Australian cultures has been denied and/or repeatedly rejected for more than 200 years. Is mechanised creativity inherent in computational thinking a feature of all human cultures?
The 2nd session brings to light our reliance on digital tools to assist us in making decisions. It's no surprise as technology is easily available to us, saves time, and we let it do all the thinking and searching for us. However, there are risks and a potential for bias, discrimination and self-serving recommendations. Without practising the exercise of choice and learning from our mistakes, our reliance could disable our capacity to make decisions to a certain extent. Technology is still immature and consequences too significant. Should we be so reliant on an algorithm to make decisions?
The AI Doctor is in the house for the 3rd session as suddenly projects have come to the fore with the appearance of COVID-19. The diagnostic ear has been collecting and analysing coughs in order to diagnose the corona virus; it will confront us as it listens to noises we make. It recognises what can't be heard, and what even we don't know about ourselves. In this presentation, one dataset of coughs that the machine is learning from will be listened to. What is this ear learning from these coughs? What can a cough reveal?
The Ian Potter Museum of Art commissioned Sean Dockray to develop an online artwork for the MACHINE Interdisciplinary Forum. The work, Listening to the Diagnostic Ear, will be launched during the week of the forum on this website. Sean is an artist and writer whose work explores the politics of technology, with a particular emphasis on artificial intelligences and the algorithmic web.