Kaaren Koomen AM- Understanding the strengths and limitations of generative AI tools
- Best practices: clearly labelling content, vetting accuracy, considering bias and double-checking quality
- Addressing the privacy, security, and legal concerns when implementing generative AI in government
- Identifying unconscious bias to avoid reputational damage
- Striking the right balance between using AI and ensuring proper oversight
Liming Zhu- Utilising generative AI to deliver unique experiences for individual customers by focusing on inclusion
- Creating innovative content, policy and services that break through the noise and engage customers in ways that enhance their experience
- Navigating the potential risks and challenges associated with implementing generative AI
- Case study: lessons from utilising generative AI globally to reach and engage with customers
Manisha Amin
Chief Executive Officer
Centre for Inclusive Design
- Empowering human creativity through generative AI in tasks such as generating visual designs, logos, and graphics for campaigns, websites, and publications
- Enhancing human creativity with the power of generative AI: automating content creation to produce engaging and immersive content
- Freeing human capability for high value tasks: generating articles, blog posts, and social media content through AI to disseminate information to the public
Justine Hall
General Manager - Customer Experience Group
IP Australia
- Utilising AI to enhance public engagement and participation
- Case studies and real-world examples of successful AI applications in engaging the public
- Enhancing accessibility and inclusivity through AI-driven public engagement platforms
- Overcoming challenges and maximising the potential of AI in public engagement
Panellists:
Mark Higgs
Executive Director - NSW Government Digital Channels
NSW Department of Customer Service
Manisha Amin
Chief Executive Officer
Centre for Inclusive Design
Jessica Ho
Director Digital Investment Assurance
NSW Department of Customer Service
Dr Reza Mohammed
Head of Hive Innovation, Level Crossing Removal Project
Victorian State Government
- Assessing the potential benefits and risks of AI adoption across the different levels of government
- Understanding the human rights impacts of using generative AI for government services
- Ensuring your AI strategy aligns with your overall goals and priorities and mitigates relevant AI risks
- Leveraging generative AI for more effective and inclusive governance
- Optimising government processes and decision-making through the responsible and ethical use of generative AI
Lorraine Finlay
Australian Human Rights Commissioner
Australian Human Rights Commission
Ying Yang- Involving employees in AI initiatives to stimulate new ideas and drive your organisation forward
- Educating employees so they see the advantages of AI, such as increased efficiency, productivity, and enhanced work-life balance
- Upskilling and reskilling your workforce to ensure your employees are well-equipped to navigate this emerging landscape
Passiona Cottee
Associate Director
NSW Department of Premier and Cabinet
Adam Berry
Deputy Director
UTS Data Science Institute
From Guglielmo Marconi who developed the radio telegraph to the Wright brothers who invented flying machines, curiosity driven experimentation has powered human innovation. Such experimental optimisation remains an integral part of the Scientific Method. This time-honoured method needs a step change to accelerate scientific innovation because this iterative method quickly hits limits.
To speed-up innovation, it is imperative to expand the capability of experimental optimisation and improve its efficiency. This talk will demonstrate how sample efficient AI can be used to deliver this acceleration in experimental design. I will discuss how the methods can be applied widely, focusing on health and advanced manufacturing particularly in settings where data is scare and experimentation is expensive. In healthcare, I show how these methods can accelerate the design of clinical/health trials to efficiently determine the optimal strategy. In advanced manufacturing, I will show how it can be applied broadly from inventing new materials and alloys to accelerating industrial processes.
The second part of the talk will focus on the new machine learning innovations that have been formulated and solved to advance experimental design. These include incorporating experimental design constraints such as process constraints, transferring knowledge from pervious experiments or experimenter “hunches”, and high dimensional Bayesian optimisation so that the number of experimental control variables can be increased.
Svetha Venkatesh
ARC Australian Laureate Fellow; Professor & Co-Director of Applied AI Institute
Deakin University
- The impact of generative AI on attracting business and economic growth
- Leveraging generative AI applications to promote local strengths and industry development
- Fostering supportive ecosystems for generative AI adoption
- Collaboration between government, academia, and industry for business growth
- Creating clear policies and regulations to foster innovative and ethical AI uses
Gavin Artz,
Business Development Manager, Commonwealth Government
CSIRO Data61
Explore how generative AI can be used to create innovative strategies and make informed decisions across a range of services benefitting the public, with case studies, examples and insights into how government departments and agencies can maximise this game changing technology.
Jessica Ho
Director Digital Investment Assurance
NSW Department of Customer Service
- Realistic scenario generation for training law enforcement personnel
- Enhancing surveillance systems using AI technology
- Generating composite images of suspects based on witness descriptions
- Exploring the impact of culture bias in AI and its implications for law enforcement
Ben Lamont
Manager for Technology, Strategy and Data
Australian Federal Police
- RICO co-develops technology and operational concepts with Government academia and industry partners to advance the adoption of emerging and disruptive technologies for the Australian Army
- Human-autonomy teaming will offer the opportunity to transform our people from transactional to more analytical tasks
- Lowering the risk threshold and the number of soldiers exposed to risk through the use of AI and autonomy offers opportunity to protect the force, while generating mass and scalable effects
- Enhancing human-based processes and decreasing human data processing tasks will evolve the execution of command and control in military operations
Lieutenant Colonel Adam J Hepworth
Technical Director - Artificial Intelligence
Australian Army