Australian Institute for Machine Learning (AIML)

Congratulations to AIML Deputy Director Melissa McCradden and her co-authors on publishing two important articles on the STANDING (STANdards for data Diversity, INclusivity and Generalisability) Together initiative representing more than 350 experts from 58 countries. The initiative seeks to create a new set of recommendations to improve the way datasets are used to build artificial intelligence (AI) into health technologies. These recommendations aim to ensure that medical AI can be safe and effective for all and include: 🟪 Encouraging medical AI to be developed using datasets that represent everyone in society, including underserved groups 🟪 Helping identify any biases or limitations in health data 🟪 Defining how AI technologies should identify if they are biased and work less well in certain people. Two articles have been published. One is the "Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations" in the highly regarded The Lancet Digital Health. The piece was co-authored by Joseph Alderman, Joanne Palmer, Elinor Laws, Johan Ordish, Marzyeh Ghassemi, Stephen Pfohl, Negar Rostamzadeh, Heather Cole-Lewis, PhD, Professor Ben Glocker, Professor Melanie Calvert, Tom Pollard, Jaspret Gill, Jacqui Gath, Adewale Adebajo, Jude Beng, Cassandra Leung, Stephanie Kuku, Lesley-Anne Farmer, Rubeta Matin, and Xiaoxuan Liu. A second article on the initiative has been published in the esteemed journal Nature entitled, "Exploring patient and public participation in the STANDING Together initiative for AI in healthcare." Co-authors on this article are Jacqui Gath, Cassandra Leung, Adewale Adebajo, Jude Beng, Anmol Arora, Joseph E. Alderman, Joanne Palmer, Elinor Laws, Jaspret Gill, Francis Mckay, Alastair Denniston and Xiaoxuan Liu. Said Dr McCradden on the initiative, "Considering health inequities is of primary importance when looking at AI translation. STANDING Together provides the foundation to make sure we don't leave some patients behind while others reap the benefits from AI." Sir Jeremy Farrar, Chief Scientist of the World Health Organization says of the initiative, “Ensuring we have diverse, accessible and representative datasets to support the responsible development and testing of AI is a global priority. The STANDING Together recommendations are a major step forward in ensuring equity for AI in health.” Congratulations to all of the authors on the STANDING Together initiative and these significant publications. #AIML_CAR To read "Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations," please click here ➡️ https://lnkd.in/gNYTehX3 To read "Exploring patient and public participation in the STANDING Together initiative for AI in healthcare," please click here ➡️ https://lnkd.in/gzh7ZwaE Photo caption: Total reach of the STANDING Together initiative (58 countries)

Curious how causal AI, artificial general intelligence (AGI), and superintelligence could shape the future of work and life across the globe? Can AI change not only the way that we work but the very nature of the 𝘯𝘦𝘦𝘥 for work? In this thought-provoking Medium article, AIML Professor Javen Qinfeng Shi discusses AI's role on the current global workforce and that of the future. "In a world where AI and robotics can handle much of production, we may find that this traditional bond between work and income no longer serves the same purpose," says Professor Shi in the piece. "In this envisioned future, the focus shifts from individuals working out of necessity to a system where wealth generated by AI and robotics could be distributed to all." "𝗕𝘆 𝗺𝗼𝘃𝗶𝗻𝗴 𝗯𝗲𝘆𝗼𝗻𝗱 𝘁𝗵𝗲 𝗻𝗲𝗲𝗱 𝗳𝗼𝗿 𝗵𝘂𝗺𝗮𝗻𝘀 𝗮𝘀 𝘁𝗼𝗼𝗹𝘀 𝗼𝗳 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻, 𝘄𝗲 𝗼𝗽𝗲𝗻 𝗮 𝗳𝘂𝘁𝘂𝗿𝗲 𝘄𝗵𝗲𝗿𝗲 𝗲𝘃𝗲𝗿𝘆𝗼𝗻𝗲 𝗰𝗮𝗻 𝗽𝘂𝗿𝘀𝘂𝗲 𝗳𝘂𝗹𝗳𝗶𝗹𝗹𝗺𝗲𝗻𝘁 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝘁𝗵𝗲 𝗰𝗼𝗻𝘀𝘁𝗿𝗮𝗶𝗻𝘁𝘀 𝗼𝗳 𝗳𝗶𝗻𝗮𝗻𝗰𝗶𝗮𝗹 𝘀𝘂𝗿𝘃𝗶𝘃𝗮𝗹." #artificialintelligence #machinelearning #AIML_CAR Click to read Professor's Shi's piece on the AIML Medium site ➡️ https://lnkd.in/eMWBh2-G 📣 Medium users, please follow AIML on Medium to be informed of other articles from our esteemed members Photo caption: a worker with tools, including a laptop computer

Do you have: ✔ A PhD in computer science, engineering, or a machine learning-related field? ✔ Expertise in programming languages such as Python or C++ and experience with advanced deep learning techniques? ✔ A strong publication record in top-tier machine learning and/or computer vision conferences or journals? If so, consider applying for one of our four Postdoctoral Researcher roles and join the newly launched Responsible AI Research (RAIR) Centre at the Australian Institute for Machine Learning (AIML) at the University of Adelaide. Join Australia’s largest university-based AI research group and be part of groundbreaking AI advancements in collaboration with CSIRO's Data61 and the SA Government. These roles offer a unique opportunity to contribute to AI research with global impact while enjoying a supportive and inclusive work environment. Learn more and apply here: https://lnkd.in/gdPQugFn Applications close: 11:55 pm ACDT, January 19, 2025. #ResponsibleAI #ArtificialIntelligence #MachineLearning #ResearchCareers #Postdoc #UniOfAdelaide

Congratulations to AIML members Deputy Director Dr Melissa McCradden, Associate Professor Qi Wu, Professor Dino Sejdinovic, and Manager for Projects and Strategic Partnerships, Jessica Cortazzo (née Neong) along with CSIRO's Data61 colleagues Petra Kuhnert, Sarah Hartman, Emma Schleiger, Qinghua Lu, Muneera Bano, Sarah Vivienne Bentley, Rifat Ara Shams and Professor Aaron Quigley on being named recipients of a Theo Murphy Initiative grant from The Australian Academy of Science. The grant will be used to establish a symposium to drive new cross-discipline collaborations and forge new paths to define and develop responsible AI, aligning with the recent launch of the Responsible AI Research (RAIR) Centre, in partnership with CSIRO. The proposed symposium will bring together early- and mid-career researchers (EMCRs) from across the country to establish a cohesive responsible AI community in Australia.   Fantastic work and congratulations all! For more information on the Theo Murphy grant, please visit ➡️ https://lnkd.in/gYz-qe2m For more information on the RAIR Centre, please visit ➡️ https://lnkd.in/gbxWMGqg

Do you have: ✔ 5+ years’ experience in commercial software development and product management? ✔ Strong software design and architecture skills with a deep understanding of how systems are built, tested, and automated? ✔ Expertise in programming languages like Python, R, Java, or C++ and frameworks such as PyTorch, TensorFlow, or Scikit-learn? If so, consider applying for the Principal Engineer position at the Australian Institute for Machine Learning (AIML) at the University of Adelaide. We are looking for a highly skilled and motivated individual to lead projects at AIML, Australia's largest university-based machine learning group. This position offers an exciting opportunity to manage a team, deliver cutting-edge machine learning solutions for real-world challenges, and contribute to impactful AI research and development. Learn more and apply here: https://lnkd.in/g9NYR-PQ Applications close: 11:55 pm (ACDT), February 3, 2025. #ArtificialIntelligence #UniOfAdelaide #MachineLearning #PrincipalEngineer #CareersInTech

Senator the Honourable Penny Wong, Australian Minister for Foreign Affairs, and His Excellency Maris Sangiampongsa, Minister of Foreign Affairs of the Kingdom of Thailand, picked a beautiful summer day to visit AIML as part of their Australia-Thailand Foreign Ministers’ Meeting, held at Government House in Adelaide on Wednesday 11 December 2024. The Ministers visited AIML to showcase work related to precision farming and AI-assisted water management. During the visit, Professor Peter Hoj AC AC, Vice-Chancellor and President of the University of Adelaide, welcomed attendees and touched on the ethical and practical aspects of AI, including responsible AI development. Afterwards, AIML Director Professor Simon Lucey spoke on the need for advancements in AI to be more energy and data efficient, the importance of collaborative research between like-minded countries, and how critical it is for AI to be accessible to all parts of society in order to create a richer economy. Welcome Minister Wong, Minister Sangiampongsa, and all other visitors. We hope that you enjoyed your visit to AIML and that our international guests have a wonderful time in sunny Adelaide. Australian Department of Foreign Affairs and Trade Photo captions: University of Adelaide Vice-Chancellor and President, Professor Høj (left) addresses Minister Sangiampongsa and Minister Wong | Minister Sangiampongsa and Minister Wong outside of the AIML building

Earlier this week, Australian Institute for Machine Learning (AIML) Director Professor Simon Lucey spoke with Caroline Winter on ABC Radio Adelaide about the launch of the Responsible AI Research Centre (RAIR), a collaboration between AIML at the University of Adelaide and CSIRO's Data61. "So, the responsible AI research centre is... aimed at addressing some of the concerns that companies and people are increasingly having around AI... especially around its responsible use," said Professor Lucey during the interview. "And there's a real opportunity to... kind of lean into not just putting safeguards in place, but leaning into new innovations around making AI safer and more trustworthy so Australians can better use it." Professor Lucey also shared RAIR’s key research areas, which include tackling misinformation, creating safe AI in embodied systems such as robotics, developing AI systems that can explain their decisions, and reducing AI hallucinations. "A hallucination is when AI thinks it's saying something, but it's actually saying the complete opposite... [so] if we start using AI in more high risk settings like, say in health or autonomous vehicles, or in areas where it really matters that the AI has to make the right decision, that can be catastrophic,” he explained. “[That’s why] fundamental research is required to better understand this [and] put safeguards in place.” With a $20M investment, RAIR further positions South Australia as a global leader in AI research. “South Australia is becoming the AI state,” Professor Lucey remarked, emphasising the new jobs and innovations stemming from the state’s growing AI ecosystem. To listen to the full interview, click here: https://lnkd.in/gtSQJdvr #ArtificialIntelligence #ResponsibleAI #AIResearch #Adelaide #SouthAustralia #UniOfAdelaide #CSIRO Photo caption: Professor Simon Lucey giving his opening address during the launch of the Responsible AI Research Centre at the AIML building on December 9 2024.

The Australian Institute for Machine Learning (AIML) at the University of Adelaide and CSIRO have launched the Responsible AI Research Centre (RAIR) at Lot Fourteen with $20 million in joint funding from the University of Adelaide, CSIRO, and the SA Government. RAIR will position Australia as a global leader in responsible AI research, addressing ethical challenges such as bias, transparency, and privacy through four key research themes: ➡️ Tackling misinformation: developing systems to ensure AI-generated content uses trusted data sources. ➡️ Safe AI in the real world: exploring foundational science questions underpinning AI’s interaction with the physical world, including robotics. ➡️ Diverse AI: creating systems that assess their knowledge limitations and express uncertainty, reducing AI hallucinations. ➡️ AI that can explain its actions: advancing AI’s understanding of cause-and-effect relationships. “Our research will enhance the lives of everyday Australians and open new avenues for investment and economic activity,” said Professor Simon Lucey, AIML Director, emphasising RAIR’s role in delivering AI solutions that are both innovative and trustworthy. The centre builds on AIML’s growing reputation as a hub for AI excellence, complementing the CommBank Centre for Foundational AI Research and the Industrial AI Program, bringing this year’s AI research investment at AIML to over $33 million. Key guests at the launch included The Hon Susan Close MP, Deputy SA Premier; Professor Peter Hoj AC, Vice-Chancellor and President of The University of Adelaide; Michael Brown MP, State Member for Florey; and Professor Jon Whittle, Director of CSIRO's Data61. As Deputy Premier Susan Close observed, “AI is shaping our world, and we need to do it in the most human way possible.” Read more: https://lnkd.in/gbxWMGqg #ResponsibleAI #ArtificialIntelligence #UniOfAdelaide #CSIRO Photo caption: From left to right: University of Adelaide Vice-Chancellor and President, Professor Peter Høj; Michael Brown, MP; John Whittle, Director of CSIRO’s Data61; The Hon Susan Close MP, Deputy SA Premier; Dr Kathy Nicholson, AIML Institute Manager; Professor Simon Lucey, AIML Director; Andrew Dunbar, Executive Director of the Research and Innovation Group for the Government of South Australia; Professor Professor Aaron Quigley, Science Director and Deputy Director of CSIRO’s Data61 at the RAIR event launch at AIML. | (L to R) Professor Simon Lucey, John Whittle and The Hon Susan Close MP addressing the media. | AIML's Dual Arm Robot (DART) proudly equipped with key stakeholders' apparel.

Are you passionate about shaping the future of AI and machine learning? The Australian Institute for Machine Learning (AIML) is proud to support the next generation of AI innovators through our AIML Research Scholarships. We are offering two scholarships valued at $5,000 AUD each for exceptional students undertaking Honours or Masters by coursework degrees at the School of Computer and Mathematical Sciences at the University of Adelaide. Eligibility: Applications are open to current University of Adelaide students who are: 🇦🇺 Australian citizens or permanent residents 🇳🇿 New Zealand citizens 🌏 Permanent humanitarian visa holders 🌎 International students How to apply: 1. Propose a research project and AIML supervisor of your choice, OR select from our list of supervisors and available projects: https://lnkd.in/gqi-WCAV 2. Click to apply: https://lnkd.in/gt_5X4XD Contact [email protected] for more information Photo caption: Joytu Khisha, a recipient of an AIML Research Scholarship, in control of AIML’s Dual Arm Robot (DART).

Congratulations to University of Adelaide master's student Avi Chapman, Australian Institute for Machine Learning (AIML) post-doc Dr Hai-Ming Xu, and AIML academic Assoc. Prof. Lingqiao Liu on receiving the Best Student Paper Award for their paper, 'Enhancing Fine-Grained Visual Recognition in the Low-Data Regime Through Feature Magnitude Regularization' at the Digital Image Computing: Techniques and Applications (#DICTA) Conference, held last month in Perth. Their research introduces a simple yet effective method to enhance how machines can accurately distinguish very similar images, such as different bird species or car models, using limited data. They developed a technique that adjusts how a machine processes the features of an image so that it pays attention to even the finest of details. Congratulations to the team on this outstanding achievement! Read their paper: https://lnkd.in/gCKsqtS9 #artificialintelligence #computervision #UniOfAdelaide #AIML_CAR Photo caption: MPhil candidate Avraham Chapman presents his research project at DICTA2024 | Dr Hai-Ming Xu and Assoc. Prof. Lingqiao Liu