Tuesday 5 December - Day One

08:15
Registration and welcome coffee

08:50
Opening remarks from the Chair

Kaaren Koomen AM
Director, Government & Regulatory Affairs, Australia/NZ
IBM

 

THE FUTURE IS GENERATIVE AI
09:00
Empowering government: maximising generative AI for effective governance and public benefit
  • Understanding the power of generative AI and how it is transforming the way governments operate
  • Exploring how the public sector will benefit from using generative AI
  • Training and unlocking the full potential of generative AI algorithms for effective governance
  • Exploring the role different generative AI models will have in the future of modern government, from computer vision to natural language processing

Kate Pounder
Chief Executive Officer
Technology Council of Australia

09:30
Safe and secure generative AI in government

Rhod Brown
Director, Australia and New Zealand Enterprise Sales
NVIDIA

Daniel Keys
Head of Innovation
xAmplify

09:50
PANEL DISCUSSION: Navigating generative AI’s impact on government operations and strategy while adapting to emerging risks
  • How will generative AI impact government operations and strategy, and what challenges will be encountered in its adoption and implementation?
  • What role does generative AI have in enhancing the customer experience and increasing engagement, and what is the potential for future innovation?
  • How is generative AI impacting the workforce, and what strategies will help upskill and reskill employees to work alongside these technologies?
  • What opportunities and threats are emerging as this technology evolves and disrupts traditional models of government?

Moderator:

Matthew Prouse
President
Digital Service Providers Australia New Zealand (DSPANZ)

Panellists:

Dr Holger Kaufmann
Chief Information Officer and Executive Group Manager, Digital Solutions
ACT Health

Susan Slocum
Head of Innovation Lab
Reserve Bank of Australia

Ying Yang
Assistant Commissioner
Australian Taxation Office

Gisele Kapterian
APAC Public Sector Strategy Lead
Salesforce

David Siroky
General Manager AI & Data Analytics
Dell Technologies

10:40
Morning Tea and Networking

MANAGING REGULATORY RISKS & ETHICAL DANGERS
11:10
Exploring the reputational risks of relying on AI-generated content for critical decision making
  • Identifying unconscious biases to avoid poor decision-making and consequent reputational damage
  • Valuing the human touch, which can set you apart from organisations relying too heavily on bot-like AI generated content
  • Striking the right balance between using AI and ensuring proper oversight and critical analysis

Dr Ian Oppermann
Chief Data Scientist
NSW Department of Customer Service

11:40
Regulating the use of generative AI and establishing supportable policies
  • Outlining the reasons for regulating generative AI and establishing supportable policies to ensure responsible and ethical use
  • Establishing a regulatory framework that defines roles, responsibilities, and standards for generative AI
  • Involving stakeholders in the policy-making process to ensure a comprehensive and balanced approach
  • Regularly assessing the effectiveness of regulatory measures and policy frameworks

Dr Michael Kollo
Chief Executive Officer
Evolved Reasoning

12:10
How might generative AI challenge the existing IP system?
  • Scrutinising the impact of generative AI on existing IP rights
  • Considering how generative AI might impact the way IP rights are granted
  • How might the innovators of the future use generative AI and what does that mean for the IP system?

Margaret Tregurtha
Deputy Director General
IP Australia

12:40
Networking Lunch

13:40
Artificial Intelligence: The role of AI governance in responsible tech

As AI permeates every facet of society, we cannot ignore that these new technologies come with serious potential risks and unintended consequences, if left unchecked. This session discusses the importance of creating AI systems that are not only innovative but also anchored in an ethically responsible framework to avoid biases, ensure privacy and maintain human oversight - and shares progress that has been made in this area from IBM’s perspective.

Daniela Combe
Vice President and Assistant General Counsel
IBM

UNLOCKING THE BENEFITS OF AUSTRALIA’S AI STRATEGY
14:10
Generative AI: Ethical use of data in government

Governments around the world have been taking major steps in operationalising the data-mine it sits on. Departments and agencies know that contextualised information is key to delivering better and more effectively for all stakeholders. Generative AI presents a major opportunity for government. But only if it can create trusted, data-secure way for their employees to use these technologies. The need to ensure the ethical, transparent, and responsible use of AI has become an even greater imperative. Join us in exploring how governments can optimise the use of data through the ethical use of AI.

Gisele Kapterian
APAC Public Sector Strategy Lead
Salesforce

14:30
Achieving AI’s potential to deliver positive citizen outcomes
  • Exploring the principles of safe and responsible AI models
  • Showcasing the use cases for AI

Lee Hickin
AI Policy and Technology Lead, Asia
Microsoft Australia and New Zealand

15:00
Australia’s path to supporting the new generative AI frontier
  • Advancing critical technology policy related to generative AI
  • Exploring strategies for Australia to be a leader in generative AI
  • Examining Australia’s digital future, the path to fostering AI strategies, and the potential benefits

Anthony Murfett
Head of Division - Technology and Digital
Department of Industry, Science and Resources

15:30
Afternoon Tea

SUCCESSFULLY ADOPTING & IMPLEMENTING GENERATIVE AI
16:00
Ensuring your department or agency's use of generative AI is explainable and transparent
  • Understanding the importance of AI explainability and transparency
  • Implementing an AI explainability and transparency framework within your department or agency's
  • Providing clear, understandable and accessible information on how your AI platform arrived at its decision
  • Focusing on real-world examples of AI explainability and transparency in action

Bill Simpson-Young
Chief Executive Officer
Gradient Institute

 

16:30
AI lessons from the frontlines of major transport infrastructure projects
  • Case studies of AI policy, strategy, usage, and implementation
  • Key lessons from the frontline relating to:
  • AI usage on construction sites
  • Organisational strategy vs policy
  • Staff capability uplift
  • Executive sponsorship
  • AI hype vs reality

Dr Reza Mohammed
Hive Innovation Lead, Level Crossing Removal Project
Victorian State Government

17:00
Closing comments from the Chair
17:05
End of Day 1
17:05
Networking Drinks