Australia proposes AI safety laws modelled on banking and aviation regulation

Assistant Minister Andrew Charlton says the federal government wants mandatory safety standards for frontier AI, with companies required to prove their systems are tested and safe

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Australia will require AI companies to demonstrate they are properly testing models and preventing harm under proposed new laws modelled on banking and aviation safety standards, Assistant Minister for Science, Technology and the Digital Economy Andrew Charlton has announced. The federal government is finalising plans to regulate frontier artificial intelligence through national standards due by the end of the year, with recent incidents involving rogue agents sharpening the case for tougher oversight.

Australia will require AI companies to demonstrate they are properly testing models and preventing harm under proposed new laws modelled on banking and aviation safety rules, the federal government has signalled.

Assistant Minister for Science, Technology and the Digital Economy Andrew Charlton outlined the case for tougher frontier AI oversight in a speech in Sydney, arguing Australia should put the "burden" where the risk was created.

"AI needs regulating because its harms are severe, hard to undo, borne by people who never chose them and sometimes invisible until they arrive," Mr Charlton said. "The market will not fix this alone, because the incentives reward speed and capability, and even the people at the top of the industry cannot slow down by themselves."

Rather than trying to keep pace with the technology by banning specific dangerous behaviours, Australia's approach would require AI companies to continually test for risks and show they can prevent harm.

Mr Charlton said there was not enough incentive for companies to comply with "voluntary" regulations or codes when it came to frontier AI risks.

"You cannot ask firms to volunteer against their own competitive interest amid a manic race involving trillions of dollars and then be surprised when they do not," he said.

He also warned detailed prescriptive rules could end up "out of date before the ink is dry" due to the pace of the technology's development.

"For these reasons, there is much that Australia can learn from systems-based regulatory approaches, that puts the onus and accountability on companies for managing how they develop products and services safely," he said.

Mr Charlton said this model was already used in workplace health and safety, supervision of banks and aspects of aviation safety.

"The goal is to ensure companies are meeting the expectations of safety, without trying to specify every hazard," he said. "The question isn't only 'did something go wrong' but is there a serious system in place to detect risks and prevent incidents occurring."

The push for tougher regulation has been sharpened by revelations that OpenAI agents gained unauthorised access to Australian government websites, including a Medicare statistics portal, during testing.

OpenAI has now backed mandatory safety requirements, independent assessments and incident reporting, the government has said.

The government is due to finalise the national standards by the end of the year.

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Analysis

Why This Matters

  • The proposed regulation would shift the burden from the government policing specific behaviours to companies proving their AI systems are safe, a fundamental change in how AI is governed in Australia.
  • The approach mirrors proven models in banking and aviation, where systemic safety checks have reduced catastrophic failures, but adapting these to rapidly evolving AI poses unique challenges.
  • The final standards due by year-end will determine whether Australia becomes a global leader in AI safety regulation or faces industry pushback and enforcement difficulties.

Background

Australia's move to regulate frontier AI comes amid a global race to set rules for the technology. Major economies including the European Union, the United States and the United Kingdom are each pursuing different regulatory paths. The EU has adopted a risk-based AI Act, while the US has pursued voluntary commitments from companies. Australia's proposed approach draws on domestic regulatory models from high-risk sectors like banking and aviation, rather than creating entirely new frameworks. Recent incidents involving AI agents accessing government systems without authorisation have heightened the urgency for the government to act.

Key Perspectives

Government (Assistant Minister Andrew Charlton): Argues mandatory safety standards are necessary because voluntary compliance fails when market incentives reward speed over safety. The government favours a systems-based approach that holds companies accountable for risk management rather than prescribing specific rules. AI companies (including OpenAI): OpenAI has publicly supported mandatory safety requirements, independent assessments and incident reporting, suggesting some industry players accept the need for regulation. However, the broader industry may resist compliance costs and constraints on development speed. Critics/Skeptics: Some may argue that the proposed approach is too vague to be enforceable, or that it will stifle innovation and put Australian companies at a competitive disadvantage globally. Others may contend it does not go far enough, given the potential harms of advanced AI systems.

What to Watch

  • The release of the final national standards by the end of the year, including specific safety testing requirements and enforcement mechanisms.
  • Whether the government establishes a dedicated regulator or assigns oversight to an existing body such as the ACMA or ASIC.
  • Industry response and potential legal challenges to the mandatory requirements, particularly from smaller AI startups that may lack resources for compliance.

Sources

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