Responsible AI in the Public Sector
Building A Robust Responsible AI Ecosystem
As AI continues to gain momentum, the public sector needs to ensure that it is used ethically, safely, and responsibly. The Responsible AI in the Public Sector hybrid conference will bring together Federal & State Level Government organisations to discuss how to navigate the complexities of AI implementation. The conference will also explore how to successfully use AI to improve service delivery, enhance decision-making processes and increase administrative efficiencies.
By sharing insights, best practices, and case studies, the conference aims to facilitate a deeper understanding of responsible AI and its implications for the public sector.
Speakers
Fawad Abro
Assistant Commissioner, Enterprise Data & Analytics
Australian Taxation Office (ATO)
Emma Liversidge GAICD
Advisory Committee Member, Queensland AI Hub, Founder
The Insight of Things
Theresa Anderson
Social Informaticist, Connecting Stones Consulting Honorary Fellow, Connected Intelligence Centre
University of Technology Sydney (UTS), Women in Data Science (WiDS) Ambassador
Dr Qinghua Lu
Principal Research Scientist & Leader Responsible AI Science Team
CSIRO Data61
Lauren Mills
Branch Manager, Digital Strategy, Policy & Engagement
Digital Transformation Agency
Key benefits
Explore how to take a measured approach to AI implementation
Learn how to embed ethics in organisation culture, build capacity & AI literacy for responsible AI governance
Learn how to establish a robust & transparent process in the adoption of responsible AI
Apply AI technologies for community benefit
Navigate the complexities of A.I, it’s appropriate use & the benefits
An excellent opportunity to network, share knowledge & learn from other public sector departments
Who will attend
Federal, State & Local Government Departments & Agencies Chiefs, Directors, Managers with responsibility for:
- Data & Analytics
- Data Governance & Strategy
- Data Science & Capability
- Artificial Intelligence (AI)
- Business Intelligence
- Policy
- Data Privacy
- AI & Cognitive technology
Agenda
Times are shown in AEDT
Laying The Foundation: Data Principles & Engineering Practices That Enable Good AI
- What are some common flaws and foundational issues you’ve observed in data architectures that hinder the progress of responsible AI, and how can they be rectified?
- What are the key considerations for designing data architectures that facilitate the movement of data while maintaining privacy and ethical integrity?
- How can we shift the conversation to integrate ethical considerations into the very fabric of AI engineering practices?
- How can organisations navigate data debt and harness the value of enterprise architecture, technology, data, and people for sustainable AI models and operational excellence?
Darshil Mehta
Chief Data & Analytics Officer
Australian Securities and Investments Commission (ASIC)
Fawad Abro
Assistant Commissioner, Enterprise Data & Analytics
Australian Taxation Office (ATO)
IP Australia’s Journey in Exploring the Impact & Possibility of Generative AI
- Understand how we are organising ourselves internally
- Unpack some of our key challenges and discover how we are addressing them
- Learn how we are complying with DTA requirements
Alicja Mosbauer
Chief Data Officer
IP Australia
How to Build Legitimate & Trustworthy AI in Government
- Exploring the challenges and opportunities in building legitimate and trustworthy AI systems in government
- Embedding a multidisciplinary approach in the use of AI
- Exploring the different usage patterns of AI, guidelines on when and how to use AI tools
- Importance of legal compliance, measuring impact and participatory design
- Why regulation alone isn’t enough and how we can bring the public in and socialise responsible AI practices
- How not to do it – how applying the principles of trustworthy systems would have prevented Robodebt
Tim de Sousa
Senior Director - Technology
FTI Consulting
Pia Andrews
Chief Data Officer, Data and Economic Analysis Centre (DEAC)
Department of Home Affairs
Navigating the AI labyrinth: Designing Strategic Governance as the Public Sectors Ethical Compass
- Guardians of AI integrity: Unveiling the roles that shape responsible AI governance
- Cracking the ethics code: From pixels to principles, unlocking the governance keys that steer responsible AI strategy
- Power partnerships: Discovering the allies boards need for successful strategic governance
- Cultivating culture: Driving ethical organisational culture to light responsible AI from within
- Illuminating structures: Crafting the organisational framework for clear responsible AI execution
- The literacy imperative: Navigating the essential landscape of data and AI literacy for responsible AI governance
- The sustainability cycle: The 5 R’s for sustainable responsible AI
Emma Liversidge GAICD
Advisory Committee Member, Queensland AI Hub, Founder
The Insight of Things
Country Centered Design & Indigenous Protocols for AI
- Traditional knowledges and AI research
- Technologies as Cultural Practice
- Cultural programming logic for responsible AI
Angie Abdilla
Founder & Director
Old Ways, New
Towards a Human-Centric Artificial Intelligence at the Global Level: The EU Perspective
- Building child safe families and communities
- Using evidence to intervene early and respond to complex problems and situations
- Having brave conversations and teaching practitioners to have them
- Reducing exposure to dating violence and harmful sexualised behaviours
Gianluca Misuraca
Director
AI4GOV, & Inspiring Futures, InTouchAI.eu
Making Data Matter: Applying AI Technologies for Community Benefit
- Appreciate why making time to connect with community and build trusted relationships with them lays the foundation for responsible use of data and AI technologies
- Getting starting with creating AI and data projects in close consultation with communities to help catch concerns and potential (unintended) problems early
- Applying international principles of FAIR (findable, accessible, interoperable, reusable) and CARE (community benefit, authority to control, responsible, ethical) to build a trusted environment for data and AI use
Theresa Anderson
Social Informaticist, Connecting Stones Consulting Honorary Fellow, Connected Intelligence Centre
University of Technology Sydney (UTS), Women in Data Science (WiDS) Ambassador
Acknowledgement of Country & Opening Remarks
CHAIR
Stephanie Mittiga
AI Taskforce Lead
Digital Transformation Agency
Laying The Foundation: Data Principles & Engineering Practices That Enable Good AI
- What are some common flaws and foundational issues you’ve observed in data architectures that hinder the progress of responsible AI, and how can they be rectified?
- What are the key considerations for designing data architectures that facilitate the movement of data while maintaining privacy and ethical integrity?
- How can we shift the conversation to integrate ethical considerations into the very fabric of AI engineering practices?
- How can organisations navigate data debt and harness the value of enterprise architecture, technology, data, and people for sustainable AI models and operational excellence?
Darshil Mehta
Chief Data & Analytics Officer
Australian Securities and Investments Commission (ASIC)
Fawad Abro
Assistant Commissioner, Enterprise Data & Analytics
Australian Taxation Office (ATO)
Setting the Stage for “Responsible AI in the Public Sector”
- What does Responsible AI in the public sector look like?
- Unpacking the technology, capabilities and limitations of AI
- What are the key challenges in the adoption of Responsible AI in the public sector?
- What should the public sector, embarking on their Responsible AI journey, begin with?
- What strategies should be considered to balance innovation and risk effectively?
Nicole Stephensen
Partner
IIS Partners
Lauren Mills
Branch Manager, Digital Strategy, Policy & Engagement
Digital Transformation Agency
Morning Tea
James Dodwell
Principal Advisor – Regulatory Systems
Taumata Arowai
IP Australia’s Journey in Exploring the Impact & Possibility of Generative AI
- Understand how we are organising ourselves internally
- Unpack some of our key challenges and discover how we are addressing them
- Learn how we are complying with DTA requirements
Alicja Mosbauer
Chief Data Officer
IP Australia
Speed Networking
- In this fun, interactive session, you will have the opportunity to meet fellow attendees and speakers in two-minute bursts, exchange business cards and set up conversations for the rest of the event.
Lunch
How to Build Legitimate & Trustworthy AI in Government
- Exploring the challenges and opportunities in building legitimate and trustworthy AI systems in government
- Embedding a multidisciplinary approach in the use of AI
- Exploring the different usage patterns of AI, guidelines on when and how to use AI tools
- Importance of legal compliance, measuring impact and participatory design
- Why regulation alone isn’t enough and how we can bring the public in and socialise responsible AI practices
- How not to do it – how applying the principles of trustworthy systems would have prevented Robodebt
Tim de Sousa
Senior Director - Technology
FTI Consulting
Pia Andrews
Chief Data Officer, Data and Economic Analysis Centre (DEAC)
Department of Home Affairs
Maturing AI Governance Approaches with the Advent of Generative AI
- Workforce implementation: Addressing how to effectively implement AI governance policies within government departments, including strategies for rollout and adoption.
- Future of AI governance in the public sector: Exploring the evolving landscape of AI governance, focusing on the unique challenges and considerations for government entities
- Balancing specifics and implementation: Highlighting the balance between overarching AI governance principles and the practical steps needed to ensure compliance and responsible AI use in the public sector
Rohan Samaraweera
Senior Director - Data Science Branch Warehouse
Department of Home Affairs
Closing Remarks
Acknowledgement of Country & Opening remark
CHAIR
Stephanie Mittiga
AI Taskforce Lead
Digital Transformation Agency
Navigating the AI labyrinth: Designing Strategic Governance as the Public Sectors Ethical Compass
- Guardians of AI integrity: Unveiling the roles that shape responsible AI governance
- Cracking the ethics code: From pixels to principles, unlocking the governance keys that steer responsible AI strategy
- Power partnerships: Discovering the allies boards need for successful strategic governance
- Cultivating culture: Driving ethical organisational culture to light responsible AI from within
- Illuminating structures: Crafting the organisational framework for clear responsible AI execution
- The literacy imperative: Navigating the essential landscape of data and AI literacy for responsible AI governance
- The sustainability cycle: The 5 R’s for sustainable responsible AI
Emma Liversidge GAICD
Advisory Committee Member, Queensland AI Hub, Founder
The Insight of Things
Country Centered Design & Indigenous Protocols for AI
- Traditional knowledges and AI research
- Technologies as Cultural Practice
- Cultural programming logic for responsible AI
Angie Abdilla
Founder & Director
Old Ways, New
Morning Tea
Managing Risk While Harnessing Generative AI
- How do generative AI systems including large language models and AI agent technologies work?
- What functions and applications could they be used for in the public sector and how shouldn’t they be used?
- What are the risks in using them and how can those risks be managed?
Bill Simpson-Young
Chief Executive
Gradient Institute Ltd
Towards a Human-Centric Artificial Intelligence at the Global Level: The EU Perspective
- Building child safe families and communities
- Using evidence to intervene early and respond to complex problems and situations
- Having brave conversations and teaching practitioners to have them
- Reducing exposure to dating violence and harmful sexualised behaviours
Gianluca Misuraca
Director
AI4GOV, & Inspiring Futures, InTouchAI.eu
Lunch
Rani Kumar
Deputy CEO
NAPCAN
Anne Hollonds
National Children’s Commissioner
Australian Human Rights Commission
Pattern-Oriented Responsible AI Engineering for the Public Sector in the Era of LLMs
- Introduce the Pattern-Oriented Responsible AI Engineering approach for operationalising responsible AI
- Explore the Responsible AI Pattern Catalogue, a collection of best practices for AI governance and engineering
- Demonstrate how to concretely measure AI risks through the Responsible AI Question Bank and the Responsible AI Metric Catalogue
- Discuss how to build responsible AI by design into the architecture of LLM/foundation-model-based systems
Dr Qinghua Lu
Principal Research Scientist & Leader Responsible AI Science Team
CSIRO Data61
Importance of Privacy Impact Assessment (PIA) for Projects Involving AI
- Understand the triggers for doing a PIA
- Key features of a good PIA
- Identifying and addressing privacy harms: examples of negative privacy impacts on the community if we get it wrong
Nicole Stephensen
Partner
IIS Partners
Afternoon Tea
Making Data Matter: Applying AI Technologies for Community Benefit
- Appreciate why making time to connect with community and build trusted relationships with them lays the foundation for responsible use of data and AI technologies
- Getting starting with creating AI and data projects in close consultation with communities to help catch concerns and potential (unintended) problems early
- Applying international principles of FAIR (findable, accessible, interoperable, reusable) and CARE (community benefit, authority to control, responsible, ethical) to build a trusted environment for data and AI use
Theresa Anderson
Social Informaticist, Connecting Stones Consulting Honorary Fellow, Connected Intelligence Centre
University of Technology Sydney (UTS), Women in Data Science (WiDS) Ambassador
Closing Remarks from the Chair & Close of Conference
Online
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Pricing
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This conference was relevant to the work we are doing in our department, there were plenty of takeaways from the presentations. The workshops were useful and practical.”
Assistant Director Data Governance Section
The presentations were very relevant to our work and industry. Presenters were informative and the chair was also quite engaging. Appreciate how this forum opens up and encouraging collaboration, learnings and leveraging work across various organisations, domestic as well as international”
Data Management Officer
WOW what a super informative and relevant summit, the information provided was up to date and the presenters knew their stuff. Sessions were run on time and we got to ask questions throughout each block.”
Public Servant
Format