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Team Name:

TrustAid


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Evidence of Work

TrustAid

Project Info

Team Name


TrustAid


Team Members


David

Project Description


TrustAid helps people find and act on the right government support in minutes. It’s built for real life events—bereavement, becoming a carer, job loss—providing personalised guidance, local service connections, and plain-English checklists. Every answer is evidence-first: TrustAid cites official pages and open datasets, shows dates, and for data questions runs read-only queries with the exact SQL and an audit_id for full traceability. If strong evidence isn’t found, it won’t guess—it flags the gap and suggests the next check. Privacy is in the user’s control: keep chat history or use a temporary session; data stays private and read-only. The result: reliable aid, with clear, actionable next steps.


#empower #connect #include #ai-transparency-toolkit #smarter-services #an-accurate-and-trustworthy-chatbot-for-data-interactions

Evidence of Work

Video

Homepage

Team DataSets

AI Technical Standards Design Statements (All)

Description of Use Powers TrustAid’s explainability layer: we reference these statements in the UI (citations, confidence, audit_id, model mode) and use them to justify refusals/guardrails in sensitive scenarios.

Data Set

Australian Government Transparency Portal

Description of Use Provides program/spend context behind guidance. TrustAid links to entity reports as evidence, and can show high-level spend/performance facts alongside service recommendations to improve trust.

Data Set

Government Data Portal

Description of Use Acts as TrustAid’s ingestion index—we discover and refresh source tables/documents from here, surface dataset provenance in answers, and let users follow through to the original dataset page.

Data Set

Digital Service Standard Compliance

Description of Use TrustAid prioritises and badges compliant services in recommendations, and cites compliance status to explain why a particular channel or service is preferred (transparency + quality).

Data Set

myGov Digital Services Performance

Description of Use Helps TrustAid set expectations and route users—e.g., flag degraded services, suggest alternative channels/times, and display performance badges next to links users are about to visit.

Data Set

Challenge Entries

An Accurate and Trustworthy Chatbot for Data Interactions

How can government agencies deploy conversational and analytical AI to interrogate complex datasets while maintaining the high degree of accuracy and auditability standards required for official decision-making?

Ask your data, trust the answer

Eligibility: Open to all, but special consideration will exist for teams with a local NT lead.

Go to Challenge | 24 teams have entered this challenge.

Using AI to Help Australians Navigate Government Services

How might we use AI to make it easier for people to access, understand and engage with the government services and supports they need - when they need them?

#Smarter-services

Eligibility: Open to all. Additional bonuses are available for ideas that are consistent with the AI Technical Standards design statements.

Go to Challenge | 37 teams have entered this challenge.

Community AI Agents: Bridging Service Access Gaps

How can we design Agentic AI solutions that autonomously assist residents in discovering, accessing, and engaging with local government and community services?

#Empower #Connect #Include

Eligibility: Open to all. Your solution will be measured against its relevance to the theme, practicality and scalability, whether it follows ethical and inclusive design, and its innovation. You must use at least one Government dataset.

Go to Challenge | 29 teams have entered this challenge.

Making AI Decisions Understandable and Clear

As government agencies and businesses increasingly use AI to improve services and efficiency, how can we create tools that help them communicate AI usage clearly, build public trust, and demonstrate responsible AI implementation?

#AI-transparency-toolkit

Eligibility: Open to all.

Go to Challenge | 15 teams have entered this challenge.