Safe and Responsible AI in Australia Consultation, Interim Response

• Authority: Government of Australia
• Jurisdiction: Other countries
• Collections: Miscellaneous documents
• Most recent activity: Enacted
• Most recent activity date: 2024-01-17

Risk subdomain coverage

Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the risk subdomain are explicitly described.

• Unfair discrimination and misrepresentation
• Compromise of privacy
• AI system security vulnerabilities
• False or misleading information
• Disinformation, surveillance, and influence at scale
• Cyberattacks, weapon development or use
• Governance failure
• AI possessing dangerous capabilities
• Lack of capability or robustness
• Lack of transparency or interpretability

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.

• Exposure to toxic content
• Unequal performance across groups
• Pollution of information ecosystem
• Fraud, scams, and targeted manipulation
• Overreliance and unsafe use
• Power centralization and unfair distribution
• Increased inequality and decline in employment
• Economic and cultural devaluation of human effort
• Environmental harm
• AI pursuing its own goals

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has good coverage of approximately 12-14 subdomains, with strong focus on discrimination and bias (1.1, 1.3), privacy compromise (2.1), AI system security (2.2), misinformation (3.1, 3.2), malicious actors (4.1, 4.2, 4.3), overreliance (5.1), governance failure (6.5), and AI system safety failures (7.1, 7.2, 7.3, 7.4). Coverage is concentrated in technical risks, systemic risks, and governance domains.

Sector coverage

Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.

• Educational Services
• Health Care & Social Assistance
• Public Administration (excl. National Security)

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.

• Trade, Transportation & Utilities
• Information
• Finance & Insurance
• Scientific Research & Development Services
• Management, Administrative & Support Services
• National Security

All other sectors had no coverage in this document.

Sectors Summary

This is a cross-sectoral government policy document that addresses AI governance across multiple sectors. The document explicitly mentions healthcare, education, financial services, transportation (automated vehicles), and public administration. It takes a horizontal approach to AI regulation rather than focusing on specific industries, though healthcare and education receive the most detailed coverage.

Legislative Status

Soft Law

Legislative Status Summary

This is an interim government response to consultation that proposes voluntary measures and future consideration of mandatory guardrails. The document primarily uses voluntary language and describes plans to consult on potential future regulation rather than establishing binding legal obligations.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: Government of Australia; Department of Industry, Science and Resources
• Summary: The document is authored by the Australian Government as an interim response to consultation. The Department of Industry, Science and Resources is specifically mentioned as leading consultation and establishing advisory groups.

Target

• Entity Types: AI_Developer, AI_Deployer
• Summary: The document targets those who develop or deploy AI systems, particularly in high-risk settings. It addresses both developers of AI models and organizations that deploy AI systems across various sectors.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: Australian Communications and Media Authority; Australian Signals Directorate
• Summary: While the document does not establish current enforcement mechanisms, it references existing regulatory bodies that would enforce AI-related laws, including ACMA for misinformation and ASD for cyber security.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: National AI Centre; Department of Industry, Science and Resources; interim expert advisory group
• Summary: The document establishes monitoring and advisory functions through the National AI Centre and a new expert advisory group to oversee AI safety standards and provide guidance on guardrails.

AI Lifecycle Stages

Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems

• Plan and Design
• Collect and Process Data
• Build and Use Model
• Verify and Validate
• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document comprehensively covers all stages of the AI lifecycle, with particular emphasis on design, verification/validation, deployment, and operation/monitoring. It explicitly addresses data collection and processing risks, model development considerations, testing requirements, deployment safeguards, and ongoing monitoring obligations.

Technical Scope

Terms relating to technical scope that are mentioned or implicitly referenced in the document

• AI Models
• Frontier AI
• AI Systems
• General Purpose AI
• Generative AI

Technical Scope Summary

The document explicitly mentions AI models, AI systems, frontier AI, and general-purpose AI. It discusses generative AI models and their risks. There is no explicit mention of compute thresholds, task-specific AI, predictive AI, foundation models, or open-weight models in the provided text.