Designed for workshops,classrooms and strategy sessions, the cards support comparative analysis and pattern-finding across cases, helping users develop context-sensitive and informed policy and governance responses grounded in real examples.

Suggested citation: Khan, A. H., & Saarim, S. (2025). AI Use Case Design Cards. Carlton, VIC, Australia: ARC Centre of Excellence for Automated Decision-Making and Society. https://espace.library.uq.edu.au/view/UQ:760a7ae

This interactive digital toolkit supports critical policy design and evaluation through three integrated card suites: AI use cases, policy tools (based on the NATO framework), and key evaluation considerations.

Combined with wicked problem mapping, the toolkit enables users to explore trade-offs, contradictions and unintended consequences in AI governance, supporting interdisciplinary learning and more nuanced,
equitable policy development.

Suggested citation: Khan, A. H., & Saarim, S. (2025). AI Policy Design & Evaluation Toolkit. Carlton, VIC Australia: ARC Centre of Excellence for Automated DecisionMaking and Society. https://espace.library.uq.edu.au/view/UQ:055a3d

Building on work in social services on trauma-informed practice, researchers identified key principles and a practical framework that framed AI design, development and deployment as a reflective, constructive exercise that resulting in algorithmic supported services to be cognisant and inclusive of the diversity of human experience, and particularly those who have experienced trauma. This study resulted in a practical, co-designed, piloted Trauma Informed Algorithmic Assessment Toolkit.

This Toolkit has been designed to assist organisations in their use of automation in service delivery at any stage of their automation journey: ideation; design; development; piloting; deployment or evaluation. While of particular use for social service organisations working with people who may have experienced past trauma, the tool will be beneficial for any organisation wanting to ensure safe, responsible and ethical use of automation and AI.

This resource is part of the Critical Capabilities for Inclusive AI project.

Suggested citation: Henman, P., Fay, S., Sleep, S., Khan, A. H., Tran, D. K., Elvery, A., & Maitra, S. (2025). Trauma-Informed AI Assessment Toolkit. ARC Centre of Excellence for Automated Decision-Making and Society. https://www.tiakit.com/

Mortar is a desktop application that is developed to view Freedom of Information (FOI) documents, as part of the Designing Automated Tools to support Welfare Rights Advocacy project of the ARC Centre of Excellence for Automated Decision-Making and Society. It was designed and piloted in collaboration with welfare rights lawyers, advocacy groups, and social services users.

Suggested citation: Khan, A. H., Tran, D. K., Kelly, M., Karim, A. O., Henman, P., Wilcock, S., Singh, E., Casey, S., Mullins, R., Carney, T., Allingham, K., & Eagle. C. (2025). Mortar. ARC Centre of Excellence for Automated Decision-Making and Society. https://admscentre.github.io/mortar-release/download

Part of the broader Data Detox Kit series, “Whose Voice is it Anyway?” offers accessible activities and practical guidance that build awareness of how AI tools
collect, interpret, and reproduce voices, as well as the potential risks around privacy, consent, and misuse. Available in 43 languages, the kit is designed for a global audience and supports users
to develop safer digital habits, better understand AI safety issues, and reflect on questions of identity,
ownership, and control in an increasingly AI-mediated world.

Suggested citation; Ghnaim, S., Carrigan, L., Hisayasu, L., Knoblochová. D., Carlon, D., Khan, A. H., & McCosker, A., (2025). Whose Voice is it Anyway? Data Detox Kit. Tactical Tech.

This research is part of the Critical Capabilities for Inclusive AI project.

The First Nations Digital Inclusion Dashboard enables users to explore data on key dimensions of digital inclusion—access, affordability, and digital ability—across urban, regional, and remote communities, and to compare outcomes with non–First Nations populations. Drawing on survey data collected in partnership with First Nations organisations and communities, the dashboard offers a nuanced picture of the digital divide and the factors shaping it, while supporting measurement of progress towards Closing the Gap Target 17. Importantly, it is intended as a resource for First Nations communities, policymakers, and researchers to better understand barriers, inform culturally appropriate solutions, and strengthen digital inclusion in ways that support connection, culture, and self-determination.

This research is part of the Mapping the Digital Gap project.

The Australian Digital Inclusion Index (ADII) measures digital inclusion across three core areas: access, affordability and digital ability. It highlights disparities among regions and social groups, including First Nations Australians, and identifies key barriers to inclusion. Widely used by governments, businesses and community organisations the ADII informs strategies to improve digital access nationwide.

This research is part of the Australian Digital Inclusion Index project.

Recommended Citation: 2023 Australian Digital Inclusion Index. (2023). Interactive data dashboards. Telstra.

DDCSRH.com is a space for sexual and reproductive health organisations and their workforce to explore strategies for thinking about digital and data technologies in your organisation. These resources are informed by recent research, including interviews and workshops with sexual and reproductive health professionals and health consumers, and a review of relevant literature.

This website hosts three evidence-based models to support strategic conversations about digital transformation in sexual and reproductive health organisations and workforces.

• Digital Capabilities for Sexual and Reproductive Health
• Data Capabilities for Sexual and Reproductive Health
• Consumer Capabilities for Sexual and Reproductive Health

The Digital and Data Capabilities for Sexual and Reproductive health Project is a 4-year programme of research led by Professor Kath Albury. It was funded by an Australian Research Council Future Fellowship.

This site based on two iterative stages of qualitative research. You can read more about these stages in our research reports:

• Digital and data capabilities for sexual health policy and practice: stage one report
• Building digital and data capabilities for sexual policy and practice stage two report

The sexual and reproductive health sector increasingly engages with digital technologies – from health promotion on social platforms to telehealth to online STI testing. The ‘digital transformation of health’ has accelerated since COVID lockdowns, and so has the development of digital health policies. What does this mean for the Australian
sexual health and reproductive health workforce?

This website provides models and checklists to support digital transformation in sexual and reproductive health organisations and workforces.

The Digital and Data Capabilities models build on Data Capabilities research partnerships funded and partially funded by Swinburne’s Social Innovation Research Institute; the Lord Mayor’s Charitable Foundation and the ARC Centre of Excellence for Automated Decision-Making +Society. This research is part of the Critical Capabilities for Inclusive AI project.

Recommended Citation: Albury, K., Mannix, S., Learmonth, C. (2025). Digital and Data Capabilities for Sexual and Reproductive Health. https://ddcsrh.com/

The GenAI Arcade was built as a research-informed response to a gap in how people understand and learn about generative AI. It was created to:

• Move AI literacy beyond passive explanation (e.g. articles or lectures) toward hands-on, experiential learning, where people understand AI by interacting with it directly
• Reveal how AI systems actually behave in practice, including their limitations, inconsistencies, and dependence on contex, things that are often hidden by polished interfaces
• Challenge dominant “framings” of AI coming from both big tech (over-simplified or promotional narratives) and public discourse (either overly technical or overly apocalyptic)
• Support “situated capabilities” understanding, meaning that AI isn’t treated as having fixed abilities, but as something whose outputs change depending on prompts, design, and social context
• Promote critical AI literacy, grounded in experimentation, where users can test assumptions and develop a more realistic understanding of what generative AI can and cannot do.

This research is part of the Generative Authenticity project. This tool was created by QUT’s GenAI Lab. If you want to learn more about the GenAI Arcade or the QUT GenAI Lab, contact genailab@qut.edu.au

Recommended Citation: Witzenberger, K., Burgess, J., He, W., & Snoswell, A. (2025). GenAI Arcade. QUT GenAI Lab. http://genai-arcade.net