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Record STMT-M062Voluntary

Australia’s AI Ethics Principles

Principles State lawOceania · AUsuperseded

Australia’s AI Ethics Principles provide voluntary guidance for businesses and governments to responsibly design, develop, and implement artificial intelligence systems. The framework establishes eight core principles focused on human wellbeing, human-centred values, fairness, privacy, reliability and safety, transparency, contestability, and accountability. These principles aim to ensure that AI is safe, secure, and reliable while promoting positive outcomes for all Australians.

Summary and content fields are drawn from the document text and are pending editorial review.

Who issued it

Department of Industry, Science and ResourcesGovernment
Lead issuer
Legal forceVoluntary
Under whose authorityState law
Judged fromfull text

Who it governs

General publicNational governmentCompaniesAI developers and providersAI deployers and usersResearchers and academics

Businesses, governments, and developers designing, implementing, or deploying AI systems in Australia should read this to understand responsible AI practices.

Sectors
Cross-sector

What the document contains

What's covered

The document covers eight core ethical principles for AI design, development, and deployment, detailing expectations around human wellbeing, rights, fairness, security, reliability, transparency, contestability, and accountability.

What's missing

The document does not provide binding statutory regulations, legal penalties for non-compliance, or technical compliance specifications.

Key takeaways
  • AI systems throughout their lifecycle should benefit individuals, society, and the environment.
  • AI systems must respect human rights, diversity, and individual autonomy.
  • Systems should be inclusive, accessible, and free from unfair discrimination.
  • Robust privacy protection, data security, reliability, and safety measures are required.
  • Transparency, explainability, contestability, and clear accountability are essential for building public trust in AI.
Principles it states
Human, societal and environmental wellbeingHuman-centred valuesFairnessPrivacy protection and securityReliability and safetyTransparency and explainabilityContestabilityAccountability
Outline
· About the AI Ethics Principles
· AI Ethics Principles at a glance
· AI Ethics Principles in detail
  - Human, social and environmental wellbeing
  - Human-centred values
  - Fairness
  - Privacy protection and security
  - Reliability and safety
  - Transparency and explainability
  - Contestability
  - Accountability
· How we developed the principles
Issued7 November 2019
Length2,690 words
FormatNot recorded
Scopenational

How it scores

Pending review

Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.

Accountability

4/5

Clear responsibility for AI outcomes

Those responsible for the different phases of the AI system lifecycle should be identifiable and accountable for the outcomes of the AI systems, and human oversight of AI systems should be enabled.

Accountability

screening score · 2026-10-23

Fairness

4/5

Non-discrimination and equitable treatment

Throughout their lifecycle, AI systems should be inclusive and accessible, and should not involve or result in unfair discrimination against individuals, communities or groups.

Fairness

screening score · 2026-10-23

Human Dignity

4/5

Respect for the inherent worth of persons

Throughout their lifecycle, AI systems should respect human rights, diversity, and the autonomy of individuals.

Human-centred values

screening score · 2026-10-23

Human Oversight

4/5

Humans remain in control of consequential decisions

They must consider the appropriate level of human control or oversight for the particular AI system or use case.

Accountability

screening score · 2026-10-23

Privacy

4/5

Protection of personal data and private life

Throughout their lifecycle, AI systems should respect and uphold privacy rights and data protection, and ensure the security of data.

Privacy protection and security

screening score · 2026-10-23

Transparency

4/5

Openness about how AI systems work and are used

There should be transparency and responsible disclosure so people can understand when they are being significantly impacted by AI, and can find out when an AI system is engaging with them.

Transparency and explainability

screening score · 2026-10-23

Enforcement

1/5

Consequences and compliance mechanisms with real force

The application of legal principles regarding accountability for AI systems is still developing.

Accountability

screening score · 2026-10-23

Impact Assessment

3/5

Required assessment of an AI system's risks/impacts before or during use

Human rights risks need to be carefully considered, as AI systems can equally enable and hamper such fundamental rights.

Human-centred values

screening score · 2026-10-23

Topics

ai_ethics artificial_intelligence responsible_ai ai_governance ai_safety