- 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
- 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?
Digital Service Providers Australia New Zealand (DSPANZ)
Dr Holger Kaufmann
Chief Information Officer and Executive Group Manager, Digital Solutions
Head of Innovation Lab
Reserve Bank of Australia
Australian Taxation Office
APAC Public Sector Strategy Lead
General Manager AI & Data Analytics
- 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
- 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
- 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?
Deputy Director General
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.
Vice President and Assistant General Counsel
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.
APAC Public Sector Strategy Lead
- Exploring the principles of safe and responsible AI models
- Showcasing the use cases for AI
AI Policy and Technology Lead, Asia
Microsoft Australia and New Zealand
- 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
Head of Division - Technology and Digital
Department of Industry, Science and Resources
- 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
Chief Executive Officer
- 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