Artificial Intelligence
Research expertise developing AI-based solutions
that enhance industry performance.
In an increasingly connected and digitised world, Artificial Intelligence (AI) is already operating at all levels of society. Our expertise encompasses key aspects of AI, including machine learning, natural language processing and autonomy.
It also supports the assurance of AI systems and the adoption of AI as a trusted partner with humans to solve problems more effectively, efficiently and safely.
What is AI?
AI is a transformative enabling technology that adds intelligent decision-making and automation capabilities to advanced digital and mechanical processes. It uses algorithms to rapidly process vast and disparate datasets, as well as generate self-driven machine behaviours and strategies. This includes advances such as machine learning, which provide a step change in systems with the ability to learn from experience.
Why is it important?
Wherever there is digital data and software systems, there is an opening for AI to add new functionality, capacity and efficiency. AI offers the ability to both predict and automate data-based decisions and actions with unprecedented speed.
AI can exponentially enhance operations across sectors such as finance, airport security (eg: facial recognition), community health, and even in the speed-breeding of the next generation of climate resilient food crops. It supports web-based systems, such as search engines and customer service chatbots, and gives machines – driverless cars, for instance – the capability to operate autonomously.
How we can help your organisation?
Our advanced research and organisational applications work together in an innovation cycle that is producing world-leading AI capability.
We cover the entire development pipeline, from concepts and development to implementation and verification. Our objective is fit-for-purpose, robust AI systems that are trustworthy and readily accessible to human users.
Through partnerships, our capabilities enhance industrial performance, efficiency and help to drive the development and adoption of automation – regarded globally as the fourth industrial revolution.
Sectors
AI is a transformative technology with broad impact across society. Our researchers are engaged in projects across a wide range of industry sectors.
Partner with us
What challenges do you have? Let us help you solve them.
Make an enquiry and our business development team will contact you.
We assemble multi-disciplinary teams tailored to solve individual AI applications, drawing on technical expertise from fields such as computing and information systems, engineering, statistics and the social sciences.
To this we add sector-specific capability such as mining, finance, manufacturing and biomedicine and undertake robust testing of any new AI system before it is implemented.
Research centres and groups
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Centre for Artificial Intelligence and Digital Ethics (CAIDE)
Establishing ethical, regulatory and legal standards for AI technologies.
Find out more -
Melbourne Centre for Data Science
Interdisciplinary research, teaching and leadership in data science.
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ARC Training Centre for Cognitive Computing in Medical Technologies
Applying AI in data intensive medical contexts.
Find out more
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Melbourne information, decision and autonomous systems lab (MIDAS)
Stand alone, networked and human partnered autonomous systems.
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AI and Autonomy Lab
Developing high-level cognitive reasoning for single and multi-agent AI systems.
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AI Assurance Lab
Verification and validation methodologies to build trustworthy AI systems.
Find out more
Partner with us
What challenges do you have? Let us help you solve them.
Make an enquiry and our business development team will contact you.
Meet our team of world-renowned researchers, engineers, and talented staff.
- Professor James Bailey
Program Leader, Artificial Intelligence
- Andrew Rudge
Business Development Director
Theme leaders
- Dr Eduardo Velloso, AI and humans
- Associate Professor Benjamin Rubinstein, Machine learning
- Professor Trevor Cohn, Natural language processing
- Professor Christopher Leckie, AI assurance and trust
- Professor Chris Manzie, AI and autonomy
- Dr Sarah Erfani, AI and cybersecurity
Researchers
Over 50 academic staff and 120 PhD students engaged in AI related research.
Partner with us
What challenges do you have? Let us help you solve them.
Make an enquiry and our business development team will contact you.
Partner with us
We are client-focussed and collaborative – we work side-by-side with your leaders, engineers and technicians to develop solutions to your challenges.
From multi-partner research to technical training and internships, get in contact with us about:
- Emerging technologies
- Developing technology strategies
- Technical training
- Engineering customised solutions
- Creating a talent pipeline through student engagement
- Leveraging our state-of-the-art research facilities
What challenges do you have? Let us help you solve them.
Make an enquiry and our business development manager will get in contact with you.
Media enquiries
Prue Gildea, Media Advisor
M: +61 466 473 741
E: prue.gildea@unimelb.edu.au
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Watch the video video recording from the recent panel discussion with academic and industry experts discussing algorithm trustworthiness held on Thursday 5 November 2020.
Video of AI event -
Violence against humans in video games has long been controversial – but what about violence against animals in the virtual world?
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The UK’s misguided attempt to use algorithms to estimate school scores is a warning and reminder of the need to keep humans and accountability in automated decision-making
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As many of us continue to work from home during COVID-19, there’s increasing incidence of technostress and techno-overload among workers that needs to be addressed
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A new app uses artificial intelligence to analyse and interpret the facial expressions of your pet. And, yes, dogs are easier to read than cats
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The focus in artificial intelligence research and development is shifting to an issue that will determine the trustworthiness of technology.
AI and data -
The hack attack on Twitter was aimed at financial gain, but what happens when hacking turns political? Regulation is part of the answer, as is becoming more savvy ourselves
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Facial recognition technology is one tool in the fight against COVID-19, but once the pandemic ends, is surveillance tech going to stick around?
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What if you could transform the standard smart speaker that sits passively in your home into a productive work instrument?
AI and data -
Digital virtual assistants make life more convenient but we are trading off our privacy. Here are some simple steps to keeping the AI where you want it
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Are you paying attention? Dr Eduardo Velloso may well be able to tell – and to help.
AI and data -
The Australian government is exploring the use of contact tracing mobile apps as a tool for public health officials and communities to fight the spread of the COVID-19 pandemic.
Cybersecurity -
Efforts to control the weaponisation of new technologies like AI are fragmented, but the UN hosts an existing disarmament framework that could bring these efforts together.
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The law is always behind technology but given the sweeping changes heralded by new technologies, legislators need to get in front of the issue.
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The aroma of beer is a key indicator of its quality, now new technology can ‘sniff’ a beer to help brewers create top notch tasty brews and innovative flavours.
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Artificial intelligence (AI) is now playing a role in mental health care and if we can navigate the ethical and privacy concerns, it may help us keep up with increasing demand.
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Why has a pornographic image been widely used to train computer scientists and their algorithms? And what sort of message does it send to women?
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This University of Melbourne academic is leading the way in the growing field of professionally-focused social media influencers.
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Associate Professor Greg Adamson outlines how human-centric considerations are being embedded into AI to stave off sci-fi scenarios of a futuristic partnership between humans and machines.
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A Federal Court ruling that the Australian government’s ‘Robodebt’ system is unlawful shines a much-needed light on what the law actually says
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As artificial intelligence (AI) and deep learning continue to impact many human industries, would understanding the ‘personality’ within the algorithm make us trust AI more?
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Artificial Intelligence. As fast as it pervades everyday language it is also accruing its own mythology, stirring in seemingly equal measure excitement, curiosity and concern. Yes, it is the future, but is it what we think? This is a considered question because for many people the greatest fear is that AI, as it is dubbed, will replace thinking ... human thought.
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Artificial intelligence can be convincingly human-like when it writes news or even poetry, but what ethical issues does this raise for the future of AI?
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Artificial intelligence is already impacting the way we work – but for the next generation of professionals, human-machine collaboration could be the norm. And now is the time to think about the values we want in that relationship
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A recent investigation found a trapdoor in the SwissVote election system that also exists in New South Wales’ iVote, but further analysis has found a second problem in the verification process
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Our smartphones are actually not very smart. But Artificial Intelligence can predict when you will reach for your mobile and make the most of your battery life
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New legislation aims to expose the communications of serious criminals, but it might undermine our security too
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Transport engineer and researcher Peter Sweatman says improving safety is a big driver of vehicle innovation, and the focus is now on saving drivers from themselves
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The new global norm of extreme weather-related disasters and climate change requires a new type of disaster-resilience modelling
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Can driverless vehicle technology replicate the human rules of engagement between pedestrians and drivers?
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Combatting bias and creating more inclusive AI is unlikely to succeed unless developers include those people who have been historically excluded or ignored.
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Biometric Mirror is an interactive application that shows how you may be perceived by others. But it’s flawed and teaches us an important lesson about the ethics of AI.
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