⚡ Quick Summary
Published by Australia's National AI Centre (NAIC) in October 2024, this guide presents the AI Impact Navigator, described as a framework for companies to assess and measure the impact and outcomes of their use of AI systems. It is structured around four dimensions — effective AI and community impact, customer experience and consumer rights, workforce and productivity, and social licence and corporate transparency — each containing five indicators, giving 20 indicators and a maximum score of 100.
Teams self-assess on a five-point scale from 'poor' to 'excellent', supported by guidance questions and example measures; an 'excellent' rating requires public reporting of AI impact and independent verification. The framework runs as a continuous improvement cycle of Plan, Act, Adapt, with three tools: a survey, an Implementation Plan template and an Impact Story template.
The document positions the Navigator as complementary to the Australian Government's Voluntary AI Safety Standard, citing Guardrail 10 and Guardrail 1, and states its vision that Australian companies are known and respected for their responsible and impact-led deployment and use of AI systems.
🧩 What’s Covered
The guide moves from framing and rationale to working templates:
- What the Navigator is: presented as "a framework for companies to use in assessing and measuring the impact and outcomes of their use of AI systems", built on a continuous improvement cycle known as Plan, Act, Adapt, and positioned as a complement to the Australian Government's new Voluntary AI Safety Standard.
- The Guiding Framework: four dimensions — social licence and corporate transparency, workforce and productivity, effective AI and community impact, and customer experience and consumer rights — together with the vision that "Australian companies are known and respected for their responsible and impact led deployment and use of AI systems".
- Audience and purpose: CEOs, organisation executives, board directors, business owners, practice and people leaders and anyone else leading AI implementation, use and impact; the stated aim is to help leaders demonstrate accountability for the impact of AI.
- How to use it: a 5-point rating scale from 'poor' to 'excellent', guidance questions, example measures, and a recommendation to revisit the survey regularly, for example quarterly.
- Development: co-design with the Responsible AI @ Scale Think Tank, drawing on ASX companies, industry networks and consumer and human rights institutions, with acknowledged contributions from CSIRO Data61.
- About the four dimensions: narrative chapters on each dimension's opportunities and risks, from algorithmic bias, privacy and opacity to job displacement, skill adaptation and AI's energy and water consumption.
- The survey: 20 indicators (five per dimension), each scored 1–5 with a rationale for the evidence rating and example measures, plus readiness levels, per-dimension score bands (5–11 lower, 12–16 medium, 17–21 higher, 22+ best practice) and combined bands from 20–47 to 88+.
- Implementation Plan and Impact Story templates: four prompts each, covering priority, planned action, expected change and evidence, and context, action, evidence and next steps.
💡 Why it matters?
For boards, executives and AI governance leads, the Navigator offers a structured way to move beyond internal policy compliance towards reporting on the real-world outcomes of AI use. Its 20 indicators and score bands give a repeatable baseline that can be revisited each quarter, and the templates produce artefacts — an implementation plan and a published Impact Story — that can be shared with customers, investors and communities. The document ties the process explicitly to Guardrail 10 and Guardrail 1 of the Australian Voluntary AI Safety Standard and names ISO 42001 as an example of a standard companies may adopt.
❓ What’s Missing
The Navigator sets no mandatory requirements and does not prescribe a fixed set of metrics: the example measures are starting points, and companies are encouraged to develop their own, which limits comparability across organisations. There is no sector-specific guidance, no completed worked example of a survey or an Impact Story (only a short illustrative Implementation Plan), and no methodology for the independent verification on which the top rating depends. Environmental impact appears in a single indicator within the social licence dimension. The framework is written for Australian organisations and references Australian instruments and standards.
👥 Best For
Corporate affairs, sustainability and AI governance leads in Australian companies who need a repeatable process for assessing and publicly reporting AI impact; executives and board directors wanting a shared vocabulary and score for internal AI impact discussions; and teams preparing to implement Guardrail 10 of the Voluntary AI Safety Standard with concrete indicators and templates.
📄 Source Details
The AI Impact Navigator: A guide for leaders to steward AI impact — socially, environmentally, and economically, published by the National AI Centre, Department of Industry, Science and Resources, October 2024; 46 pages. No individual authors are named; the acknowledgement credits CSIRO Data61 (Judy Slatyer, Sarah Kaur, Georgina Ibarra, Dr Didar Zowghi) and the Responsible AI @ Scale Think Tank. The text extracted for this review covered all 46 pages. The document prints the address industry.gov.au/AINav.
