You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: docs/about.md
+18-2Lines changed: 18 additions & 2 deletions
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -44,10 +44,26 @@ By combining responsible innovation with a pro-business approach, SafeAI-Aus aim
44
44
6.**Alignment with Standards** – Promote compliance with Australian regulations and alignment with leading global AI safety frameworks.
45
45
46
46
---
47
-
48
47
## Attribution & Licence
49
48
[](https://creativecommons.org/licenses/by/4.0/)
50
49
This work is licensed under a [Creative Commons Attribution 4.0 International License (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/).
51
50
51
+
### Why CC BY 4.0?
52
+
SafeAI-Aus has adopted the CC BY 4.0 licence to maximise accessibility, reuse, and impact of our resources. This licence allows anyone to:
53
+
54
+
-**Use** the content freely, including for commercial purposes.
55
+
-**Adapt and build upon** the content to suit specific business or community needs.
56
+
-**Share** the material in any format.
57
+
58
+
The only requirement is **attribution** — recognising SafeAI-Aus as the source and linking back to this site.
59
+
60
+
This choice reflects our commitment to:
61
+
62
+
-**Openness and collaboration** – encouraging businesses, researchers, and policymakers to reuse and improve on our work.
63
+
-**Practical adoption** – removing barriers to use, even in commercial contexts, so that safe AI practices spread quickly and effectively.
64
+
-**Credibility and trust** – ensuring attribution helps maintain a clear chain of custody and authenticity for shared knowledge.
65
+
52
66
**Attribution Example:**
53
-
> Content from SafeAI-Aus, licensed under CC BY 4.0. Adapted from the original at [https://github.com/safeai-aus/safeai-aus.github.io](https://github.com/safeai-aus/safeai-aus.github.io).
67
+
> Content from SafeAI-Aus, licensed under CC BY 4.0. Adapted from the original at [https://github.com/safeai-aus/safeai-aus.github.io](https://github.com/safeai-aus/safeai-aus.github.io).
Copy file name to clipboardExpand all lines: docs/governance-templates/ai-use-policy.md
+5-1Lines changed: 5 additions & 1 deletion
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -37,7 +37,8 @@ This page provides a reusable **AI Use Policy** for Australian businesses seekin
37
37
## 1. Purpose
38
38
The purpose of this policy is to ensure the safe, responsible, and effective use of Artificial Intelligence (AI) within [Organisation Name]. It establishes clear expectations for how AI should support organisational goals, protect people, and align with applicable standards and laws.
39
39
40
-
This policy aims to:
40
+
This policy aims to:
41
+
41
42
- Support organisational objectives.
42
43
- Comply with Australian laws and standards.
43
44
- Protect privacy, data, and intellectual property (IP).
@@ -50,6 +51,7 @@ This policy aims to:
50
51
This policy applies across the organisation wherever AI technologies are developed, purchased, or used. It covers both internal and external use cases, ensuring that all applications of AI are appropriately governed.
51
52
52
53
In scope are:
54
+
53
55
- All AI projects, pilots, and procurements.
54
56
- All AI-generated outputs used for decision-making or external publication.
55
57
- Any third-party AI services or APIs integrated into organisational workflows.
@@ -182,10 +184,12 @@ SafeAI-Aus provides this template without warranty or liability.
182
184
This AI Use Policy template is made available under the **Creative Commons Attribution 4.0 International (CC BY 4.0)** licence.
183
185
184
186
You are free to:
187
+
185
188
-**Share** — copy and redistribute the material in any medium or format.
186
189
-**Adapt** — remix, transform, and build upon the material for any purpose, even commercially.
187
190
188
191
Under the following terms:
192
+
189
193
-**Attribution** — You must give appropriate credit, provide a link to the licence, and indicate if changes were made.
Selecting the right AI vendor is a critical step in managing risk and ensuring safe, ethical, and productive use of AI in your business. This checklist helps Australian organisations assess potential AI vendors against industry standards, legal requirements, and best practices.
22
22
23
-
Using this evaluation process supports stronger AI governance by:
23
+
Using this evaluation process supports stronger AI governance by:
24
+
24
25
- Reducing risks from unverified or non-compliant AI products.
25
26
- Ensuring transparency, accountability, and security in AI procurement.
26
27
- Building trust with customers, regulators, and partners.
27
28
28
-
This checklist can be used as part of your organisation’s AI governance framework when:
29
+
This checklist can be used as part of your organisation’s AI governance framework when:
30
+
29
31
- Onboarding a new AI vendor.
30
32
- Renewing or extending existing vendor contracts.
31
33
- Reviewing AI products that have undergone significant updates.
@@ -106,6 +108,7 @@ Check customer references, case studies, and the vendor’s history of regulator
106
108
107
109
## Documenting & Storing Results
108
110
To ensure accountability and provide an audit trail:
111
+
109
112
- Record all responses and supporting evidence provided by the vendor.
110
113
- Capture notes on any identified risks or gaps and how they will be managed.
111
114
- Store completed checklists in a secure repository (e.g. risk register, governance system, or procurement file).
@@ -130,10 +133,12 @@ SafeAI-Aus provides this template without warranty or liability.
130
133
This template is made available under the **Creative Commons Attribution 4.0 International (CC BY 4.0)** licence.
131
134
132
135
You are free to:
136
+
133
137
-**Share** — copy and redistribute the material in any medium or format.
134
138
-**Adapt** — remix, transform, and build upon the material for any purpose, even commercially.
135
139
136
140
Under the following terms:
141
+
137
142
-**Attribution** — You must give appropriate credit, provide a link to the licence, and indicate if changes were made.
Copy file name to clipboardExpand all lines: docs/safety-standards/ai-australian-legislation.md
+10Lines changed: 10 additions & 0 deletions
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -24,6 +24,7 @@ As of August 2025, the Government is also considering new AI-specific regulation
24
24
25
25
### Why this matters
26
26
Understanding the current legal landscape helps organisations:
27
+
27
28
- Avoid legal and reputational risks from misuse of AI
28
29
- Demonstrate compliance and accountability to regulators and customers
29
30
- Build trust by applying the same standards to AI as to human decision-making
@@ -37,12 +38,14 @@ Understanding the current legal landscape helps organisations:
37
38
The **Privacy Act 1988** is the principal legislation that regulates how personal information is collected, stored, used, and disclosed in Australia, including by government and private sector organisations ([ag.gov.au](https://www.ag.gov.au/rights-and-protections/privacy)). It establishes the **Australian Privacy Principles (APPs)**, which apply to most organisations and agencies.
38
39
39
40
**Relevance to AI:**
41
+
40
42
- Customers must be informed when AI systems process personal information
41
43
- AI-derived insights about individuals are considered personal information
42
44
- Consent may be required for analyzing personal data by AI
43
45
- AI training datasets must comply with the APPs
44
46
45
47
**Actions required:**
48
+
46
49
- Update privacy policies to mention AI use
47
50
- Display “We use AI” notices where relevant
48
51
- Ensure AI vendors are APP-compliant
@@ -56,12 +59,14 @@ The **Privacy Act 1988** is the principal legislation that regulates how persona
56
59
The **Australian Consumer Law (ACL)** is a national law embedded in the Competition and Consumer Act 2010. It protects consumers from unfair trading, misleading conduct, and unsafe products or services across all states and territories ([consumer.gov.au](https://consumer.gov.au/about/australian-consumer-law)).
57
60
58
61
**Relevance to AI:**
62
+
59
63
- AI-generated content and claims must not be inaccurate or misleading
60
64
- Chatbots must clearly communicate their nature and authority
61
65
- AI-driven pricing must avoid deception
62
66
- Recommendations should be based on reasonable grounds
63
67
64
68
**Actions required:**
69
+
65
70
- Review all AI-generated marketing and promotional content
66
71
- Implement disclaimers where chatbot responses could mislead
67
72
- Monitor AI output quality and accuracy
@@ -75,12 +80,14 @@ The **Australian Consumer Law (ACL)** is a national law embedded in the Competit
75
80
Australia maintains a federal anti‑discrimination framework, including acts like the **Sex Discrimination Act 1984**, **Racial Discrimination Act 1975**, and **Disability Discrimination Act 1992**. These laws prohibit unfair treatment across public life based on protected characteristics ([ag.gov.au](https://www.ag.gov.au/rights-and-protections/human-rights-and-anti-discrimination/australias-anti-discrimination-law)).
76
81
77
82
**Relevance to AI:**
83
+
78
84
- AI must not discriminate against protected groups (e.g., based on gender, race, age, disability)
79
85
- Recruitment or HR AI tools must mitigate bias
80
86
- Services powered by AI must treat all users equitably
81
87
- Credit and insurance AI must comply with anti-discrimination obligations
82
88
83
89
**Actions required:**
90
+
84
91
- Regularly audit AI systems for bias and discriminatory outcomes
85
92
- Document actions taken to ensure fairness
86
93
- Maintain human oversight for high-impact AI decisions
@@ -94,12 +101,14 @@ Australia maintains a federal anti‑discrimination framework, including acts li
94
101
Australia’s **IP laws**—covering copyright, patents, trademarks, and design rights—aim to protect creators and innovators while balancing access to creative content and knowledge ([ipaustralia.gov.au](https://www.ipaustralia.gov.au/about-us/ip-legislation-in-australia)).
95
102
96
103
**Relevance to AI:**
104
+
97
105
- Training AI models on copyrighted data may pose legal risk
98
106
- AI-generated outputs might not qualify for copyright protection
99
107
- Using client data without permission could breach confidentiality or IP rights
100
108
- Using competitors’ content for training may contravene IP laws
101
109
102
110
**Actions required:**
111
+
103
112
- Audit datasets for copyright compliance
104
113
- Include AI use and ownership clauses in contracts
105
114
- Avoid relying solely on AI-generated content for IP claims
Copy file name to clipboardExpand all lines: docs/safety-standards/voluntary-ai-safety-standard-10-guardrails.md
+23-9Lines changed: 23 additions & 9 deletions
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -30,6 +30,7 @@ Importantly, the 10 guardrails are consistent with leading international standar
30
30
31
31
### Why this matters
32
32
Adopting the guardrails early helps organisations build **trust, resilience, and regulatory readiness**. By embedding these practices now, businesses can:
33
+
33
34
- Reduce risks from bias, errors, and misuse of AI
34
35
- Strengthen transparency and customer confidence
35
36
- Position themselves ahead of future mandatory compliance requirements
@@ -65,52 +66,62 @@ Adopting the guardrails early helps organisations build **trust, resilience, and
65
66
66
67
While the 10 guardrails apply to all organisations, SMEs can adopt them at different maturity levels:
-*Minimum:* Override capability for all AI decisions
90
96
-*Better:* Human review of significant decisions
91
97
-*Best:* Human-in-the-loop for all critical processes
92
98
93
-
**Guardrail 6: Test reliability**
99
+
**Guardrail 6: Test reliability**
100
+
94
101
-*Minimum:* Pre-deployment testing
95
102
-*Better:* Monthly performance monitoring
96
103
-*Best:* Continuous testing and validation
97
104
98
-
**Guardrail 7: Monitor impacts**
105
+
**Guardrail 7: Monitor impacts**
106
+
99
107
-*Minimum:* Track errors and complaints
100
108
-*Better:* Proactive impact assessment
101
109
-*Best:* Real-time monitoring dashboard
102
110
103
-
**Guardrail 8: Ensure accountability in supply chain**
111
+
**Guardrail 8: Ensure accountability in supply chain**
112
+
104
113
-*Minimum:* Vendor compliance check
105
114
-*Better:* Contractual AI requirements
106
115
-*Best:* Regular vendor audits
107
116
108
-
**Guardrail 9: Maintain records**
117
+
**Guardrail 9: Maintain records**
118
+
109
119
-*Minimum:* Keep AI decision logs
110
120
-*Better:* Comprehensive documentation
111
121
-*Best:* Automated compliance reporting
112
122
113
-
**Guardrail 10: Support human autonomy**
123
+
**Guardrail 10: Support human autonomy**
124
+
114
125
-*Minimum:* Opt-out options
115
126
-*Better:* User control preferences
116
127
-*Best:* Full user agency over AI interactions
@@ -141,6 +152,7 @@ While the 10 guardrails apply to all organisations, SMEs can adopt them at diffe
141
152
### Government's principles-based definition of "high-risk AI"
142
153
In its consultation on mandatory guardrails for AI in high-risk settings, the Australian Government proposes a principles-based approach.
143
154
An AI application may be considered *high-risk* if it has a high likelihood of causing material harm in one or more of the following areas:
155
+
144
156
- Human rights or freedoms
145
157
- Health and safety
146
158
- Legal rights or obligations
@@ -156,6 +168,7 @@ The following examples are **not part of the official government definition**. T
156
168
Senate Inquiry report: [“Australian Government should regulate generative AI” – The Guardian, 27 Nov 2024](https://www.theguardian.com/technology/2024/nov/27/amazon-google-and-meta-are-pillaging-culture-data-and-creativity-to-train-ai-australian-inquiry-finds)
157
169
158
170
**Examples often cited as potentially high-risk in public discussions:**
0 commit comments