Top 5 Departments

Launched by Bluebird Advisory and AI Colab

AI Leaderboard

leaderboard-1st

Department of Finance

leaderboard-2nd

Department of Agriculture, Fisheries and Forestry

leaderboard-3rd

Department of Climate Change, Energy, the Environment and Water

leaderboard-4th

Department of Employment and Workplace Relations

leaderboard-5th

Department of Education

RANKINGS CONTINUED:
6 Services Australia | 7= Department of Industry, Science and Resources | 7= Department of Veterans’ Affairs | 9 Department of Health, Disability and Ageing | 10 Australian Taxation Office | 11= Department of the Prime Minister and Cabinet | 11= Department of Home Affairs | 13= Department of the Treasury | 13= Attorney-General’s Department | 13= Department of Infrastructure, Transport, Regional Development, Communications, Sport and the Arts | 16 Department of Social Services | 17 Department of Foreign Affairs and Trade

How the ranking is calculated

The scoring system is based on four categories: Governance & Accountability, AI Use & Impact, Capability & Engagement, and Overall Quality. Each category has a maximum score of 25 points and is composed of five sub-criteria.

Accountable Official Identified

Clearly names the person responsible for AI governance

Governance Structure

Describes oversight mechanisms (e.g., committees, reporting lines)

Risk Management Approach

Explains how risks are assessed and mitigated

Use of AI Assurance Framework

Indicates use of DTA’s framework for high-risk AI

Internal Register of AI Use

Mentions or describes an internal register of AI systems

AI Use Cases Described

Lists or explains current AI systems and their purposes

Public Impact Disclosure

Clarifies whether AI affects public services or decisions

Human Oversight

Describes how human oversight is maintained

Ethical Considerations

Addresses fairness, bias, and ethical safeguards

Transparency of Decision-Making

Explains how decisions made by AI are communicated

Staff Training

Describes AI training programs for staff

Role-Specific Training

Indicates tailored training for key roles (e.g., procurement)

Public Accessibility

Statement is easy to find and read online

Feedback Mechanism

Provides a way for public or stakeholders to give feedback

Commitment to Updates

Mentions regular review and update schedule

Clarity & Structure

Well-organised, readable, and jargon-free

Compliance with DTA Policy

Meets all mandatory elements of the DTA policy

Evidence of Implementation

Shows real-world application, not just intent

Innovation & Leadership

Demonstrates leadership or innovation in AI use

Cross-Agency Collaboration

Mentions partnerships or shared initiatives

Lead with Transparency. Build with Confidence.

Bluebird Advisory helps government departments and public sector organisations communicate their AI use with clarity, integrity, and purpose.

Why AI Transparency Is More Than Compliance

We empower organisations with innovative digital solutions and expert consultancy. Our services include digital transformations, data analytics, cyber security, project delivery, change management, and financial optimisation, all tailored to help our clients achieve sustainable results.

Clear communication builds confidence in digital services.

Transparency ensures AI aligns with public values.

Transparency ensures AI aligns with public values.

How Bluebird Supports You

Our AI Transparency & Capability Services

  • Develop and implement a comprehensive AI Governance framework to manage risk across the agency.
  • Update transparency statements, policies, and job descriptions to reflect the responsible use of AI.
  • Ensure alignment with ethical standards, legal requirements, and public expectations.
  • Create an AI use case inventory by reviewing existing business processes.
  • Apply a risk matrix to assess and prioritise AI use cases and associated processes.
  • Select pilot use cases based on risk level, value for money, and operational efficiency.
  • Develop reusable AI prompts for high-volume, business-as-usual (BAU) scenarios.
  • Monitor, evaluate, and report on the performance and impact of pilots and prompt usage.
  • Scale successful pilots for broader operational use across the agency.
  • Deliver foundational AI training to build baseline understanding across staff.
  • Expand training to include:
    • Pompt engineering techniques
    • Real-world use cases
    • Comprehensive understanding of AI-related risks and mitigation strategies