> ## Documentation Index
> Fetch the complete documentation index at: https://academy.pathfindr.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# AI Principles for Your Organisation

> A practical guide to establish clear, actionable AI principles that build trust and guide responsible AI adoption.

## Why your organisation needs AI principles

Your team is already using AI. Whether it is drafting emails, summarising reports, or building spreadsheets, someone in your organisation has opened ChatGPT, Copilot, or Claude in the last week. The question is not whether AI is being used. The question is whether it is being used with clear expectations.

AI principles give your people a shared language for making decisions. They set boundaries without slowing teams down, and they signal to clients and regulators that you take responsible use seriously.

<CardGroup cols={4}>
  <Card title="Understand the landscape" icon="square-1">
    Know where government guidance is heading
  </Card>

  <Card title="Draft your principles" icon="square-2">
    Create guidelines your team can actually follow
  </Card>

  <Card title="Assign ownership" icon="square-3">
    Make someone responsible for keeping principles alive
  </Card>

  <Card title="Publish and review" icon="square-4">
    Share widely and commit to regular updates
  </Card>
</CardGroup>

***

## The regulatory landscape is moving

Most governments have not introduced standalone AI legislation yet. Instead, the direction globally is a principles-based, voluntary approach, with existing laws (privacy, consumer protection, workplace safety) already applying to how organisations use AI.

In October 2025, the National AI Centre (NAIC) released the <b>Guidance for AI Adoption</b>, which outlines six essential practices known as <b>AI6</b>. This is the current primary government reference for responsible AI use, replacing the earlier Voluntary AI Safety Standard.

<Columns cols={2}>
  <Card title="AI6: Guidance for AI Adoption" icon="landmark">
    Released October 2025. Consolidates the previous 10 voluntary guardrails into 6 essential practices. Comes in two versions: Foundations (for organisations starting out) and Implementation Practices (for scaling AI). Includes templates, a screening tool, and a policy guide.

    <b>Why it matters</b>: This framework is voluntary today, but is expected to become the baseline for any future mandatory requirements.
  </Card>

  <Card title="Existing laws already apply" icon="scale-balanced">
    Privacy law, consumer protection, anti-discrimination, and workplace safety legislation already govern how you collect data, make decisions, and communicate with customers. AI does not create an exemption from these obligations.

    <b>Why it matters</b>: You do not need to wait for new AI-specific laws to act. Your current legal obligations already shape how AI should be used.
  </Card>
</Columns>

<Tip>
  The full AI6 guidance, templates, and screening tools are available at [industry.gov.au/publications/guidance-for-ai-adoption](https://www.industry.gov.au/publications/guidance-for-ai-adoption).
</Tip>

### The six essential practices (AI6)

Your AI principles should address each of these areas. The template in the next section maps directly to them.

<AccordionGroup>
  <Accordion title="Practice 1: Accountability" icon="user-tie">
    Decide who is accountable for AI decisions in your organisation. This does not need to be a new hire. It can be an existing senior leader who owns AI governance alongside their current role.
  </Accordion>

  <Accordion title="Practice 2: Impact assessment" icon="magnifying-glass">
    Understand what your AI tools are doing and who they affect. Before rolling out a new tool, assess how it impacts employees, clients, and data.
  </Accordion>

  <Accordion title="Practice 3: Risk management" icon="triangle-exclamation">
    Measure and manage risks specific to AI, including inaccuracy, bias, data leakage, and over-reliance.
  </Accordion>

  <Accordion title="Practice 4: Transparency" icon="eye">
    Be open about how AI is used in your products, services, and internal processes. Tell clients when AI contributed to a deliverable.
  </Accordion>

  <Accordion title="Practice 5: Human oversight" icon="hand">
    Keep humans in the loop for decisions that affect people, finances, or strategy. AI assists. Humans decide.
  </Accordion>

  <Accordion title="Practice 6: Ongoing improvement" icon="arrows-rotate">
    Review your AI tools and practices regularly. Update your principles as the technology and regulatory landscape evolves.
  </Accordion>
</AccordionGroup>

***

## Building your AI principles

Your principles do not need to be perfect on day one. Start with a clear framework, test it with your leadership team, and refine based on real use.

### Before you start

Answer these questions with your leadership team before drafting.

<CardGroup cols={2}>
  <Card title="What is our stance?" icon="compass">
    Are you encouraging AI adoption, proceeding cautiously, or somewhere between? Be honest about where you sit.
  </Card>

  <Card title="What matters most?" icon="bullseye">
    Is it speed, quality, compliance, or innovation? You cannot optimise for everything. Pick your priority.
  </Card>

  <Card title="What is non-negotiable?" icon="ban">
    Identify absolute boundaries. Client data? Financial decisions? Legal advice? List what AI cannot touch.
  </Card>

  <Card title="Who is accountable?" icon="user-shield">
    Name one person responsible for AI oversight. Without ownership, principles become shelf-ware.
  </Card>
</CardGroup>

***

### Draft your core principles

The template below gives you seven principles you can customise to your organisation. Each one maps back to the AI6 practices and common legal obligations around privacy, consumer protection, and intellectual property.

The principles follow a consistent structure: a clear statement, a short explanation, and "What this looks like here" examples you replace with your own real actions. The accordion format lets readers scan the headings first, then expand only the ones they need to customise.

<Accordion title="Copy The AI Principles Template" icon="copy">
  ```markdown theme={null}
  ## [Your Organisation's] AI Principles

  AI is part of how we work. These principles guide our approach and hold us
  accountable. We share them publicly because transparency builds trust with
  our team, our clients, and our partners.

  These principles align with the Guidance for AI Adoption (AI6) and our
  obligations under existing law, including privacy, consumer protection, and
  intellectual property legislation.

  ---

  ### 1. People lead, AI supports

  We use AI to enhance human judgment, creativity, and expertise. AI helps our
  team work faster and smarter, but final decisions, especially those affecting
  people, clients, or strategy, always involve a person.

  **What this looks like here:**
  - [Example: Our team uses AI for research and first drafts. A team member
    reviews, edits, and approves every output before it reaches a client.]
  - [Example: No automated decision affecting an employee or client outcome
    is made without human sign-off.]

  ---

  ### 2. Quality over speed

  We use AI when it improves outcomes, not just because it is faster. Every
  AI-assisted output meets the same quality standard as work produced without
  AI.

  **What this looks like here:**
  - [Example: AI-generated content goes through our standard review process
    before delivery.]
  - [Example: We test new AI tools against our quality benchmarks before
    rolling them out to the wider team.]

  ---

  ### 3. Transparency by default

  We tell people when AI played a role in our work. We are clear about what AI
  can and cannot do. We do not overstate AI capabilities or hide its
  involvement.

  **What this looks like here:**
  - [Example: Client deliverables note when AI tools assisted in research,
    drafting, or analysis.]
  - [Example: We maintain an internal register of AI tools we use, what they
    are used for, and who approved them.]

  ---

  ### 4. Your data stays protected

  We protect client and employee data rigorously. We only use enterprise-grade
  AI tools with appropriate data protection agreements. We never input
  confidential or personally identifiable information into public AI tools.

  **What this looks like here:**
  - [Example: All AI tools are approved by our IT lead and operate under
    enterprise data protection agreements.]
  - [Example: We maintain a list of approved AI tools. Any tool not on the
    list requires approval before use.]
  - [Example: We comply with applicable privacy law and data protection
    principles in all AI-related data handling.]

  ---

  ### 5. Respect intellectual property

  We respect copyright and intellectual property in everything we create. AI
  assists our creative process. It does not replace proper attribution,
  licensing, or original thinking.

  **What this looks like here:**
  - [Example: We verify that AI-generated content does not reproduce
    copyrighted material before publishing.]
  - [Example: We attribute sources and do not present AI-generated text as
    original research.]

  ---

  ### 6. Check for bias and fairness

  AI can reflect and amplify biases present in its training data. We actively
  monitor for unfair outcomes, seek diverse perspectives in our review
  processes, and correct issues when we find them.

  **What this looks like here:**
  - [Example: We review AI-generated recommendations and outputs for
    potential bias before acting on them.]
  - [Example: Recruitment, performance, and client-facing decisions that
    involve AI are reviewed by more than one person.]

  ---

  ### 7. Keep learning, keep improving

  AI changes fast. We commit to ongoing learning, regular tool reviews, and
  updating our practices as the technology and regulatory environment evolves.

  **What this looks like here:**
  - [Example: We review our AI tools and principles quarterly.]
  - [Example: Team members complete AI training as part of onboarding and
    receive updates when tools or policies change.]
  - [Example: We track government guidance and industry developments to stay
    aligned with emerging best practice.]
  ```
</Accordion>

<Note>
  Copy the template above and replace the bracketed examples with actions your organisation actually takes or plans to take. Remove the brackets when you are done.
</Note>

***

### Add accountability and ownership

Principles without an owner become shelf-ware. This section names who is responsible, how often you review, and how people raise concerns.

The AI lead does not need to be a dedicated hire. Assign it to a senior leader who already touches operations, compliance, or IT.

<Accordion title="Copy The Accountability Section" icon="copy">
  ```markdown theme={null}
  ## Accountability

  | Role               | Person                    | Responsibility                                                |
  | ------------------ | ------------------------- | ------------------------------------------------------------- |
  | AI Lead            | [Name, Title]             | Maintains principles, reviews use cases, coordinates training |
  | Executive Sponsor  | [Name, Title]             | Approves changes, allocates resources, escalates to board     |
  | Review schedule    | [Quarterly / Six-monthly] | Full review of principles, tools, and incident log            |
  | Questions          | [email@yourcompany.com]   | Single point of contact for AI-related concerns               |

  ## Living document

  These principles are not set and forget. We update them as we learn, as our
  tools change, and as regulatory guidance evolves.

  Last updated: [Date]
  Version: [X.X]
  ```
</Accordion>

***

### Publish and communicate

Writing principles is half the work. The other half is making sure your team knows they exist and understands how to apply them.

<Steps>
  <Step title="Share with leadership first">
    Circulate the draft to your leadership team. Give them one week to flag practical concerns or missing edge cases.
  </Step>

  <Step title="Run a team briefing">
    Walk through the principles in a 30-minute session. Use real examples from your organisation. Answer questions live.
  </Step>

  <Step title="Post where people work">
    Add principles to your intranet, onboarding materials, and client proposal templates. If they are hard to find, they will not be followed.
  </Step>

  <Step title="Set the first review date">
    Put a quarterly review in the calendar now. Assign the AI Lead to prepare a short update on what is working, what is not, and what needs to change.
  </Step>
</Steps>

<Tip>
  Start with what you are already doing. You do not need perfect processes to publish principles. The act of writing them down creates accountability.
</Tip>

***

## How this connects to AI policy

AI principles are the "why" and the "what". AI policy is the "how" and the "who". If you have already built your principles, the next step is turning them into operational policy with practical boundaries, approval processes, and incident response.

<CardGroup cols={3}>
  <Card title="Principles" icon="scale-balanced">
    What you believe and commit to publicly. Guides decision-making at every level.
  </Card>

  <Card title="Policy" icon="file-shield">
    Operational rules, boundaries, and processes. Tells people exactly what to do and not do.
  </Card>

  <Card title="Training" icon="graduation-cap">
    How you build capability across the organisation. Turns policy into daily practice.
  </Card>
</CardGroup>

***

## Key references

<CardGroup cols={2}>
  <Card title="Guidance for AI Adoption (AI6)" icon="landmark" href="https://www.industry.gov.au/publications/guidance-for-ai-adoption">
    The primary government framework for responsible AI governance. Includes templates, screening tools, and a policy guide.
  </Card>

  <Card title="Voluntary AI Safety Standard" icon="shield-halved" href="https://www.industry.gov.au/publications/voluntary-ai-safety-standard">
    The original 10 guardrails (2024), now fully integrated into AI6. Useful for more granular control statements.
  </Card>

  <Card title="OAIC AI and Privacy Guidance" icon="lock" href="https://www.oaic.gov.au/privacy/privacy-guidance-for-organisations-and-government-agencies/guidance-on-privacy-and-the-use-of-commercially-available-ai-products">
    Privacy compliance requirements for commercially available AI products.
  </Card>

  <Card title="AI Ethics Principles" icon="scale-balanced" href="https://www.industry.gov.au/publications/australias-ai-ethics-principles">
    The eight voluntary ethics principles that underpin government AI guidance.
  </Card>
</CardGroup>

***

## What to do next

<CardGroup cols={4}>
  <Card title="Step 1" icon="square-1">
    Copy the principles template and replace the placeholders with your details
  </Card>

  <Card title="Step 2" icon="square-2">
    Fill in the "What this looks like here" examples with real actions from your team
  </Card>

  <Card title="Step 3" icon="square-3">
    Add the accountability section and name your AI Lead
  </Card>

  <Card title="Step 4" icon="square-4">
    Share with leadership, brief your team, and set your first review date
  </Card>
</CardGroup>