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Technology
Apr 06, 2026

Australian Scientists Warn AI‑Driven Environmental Approvals Could Mirror ‘Robodebt’ Flaws and Endanger Threatened Species

AI Summary
Conservation experts caution that a $13 million government trial of AI for mining approvals could produce “Robodebt‑style” errors, jeopardising Australia’s threatened species. They argue that vague environmental laws, poor data quality, and lack of transparency make AI a risky substitute for human assessors, urging clearer rules and better species data instead of automation.

Conservationists and scientists have warned that the Minerals Council of Australia’s proposal to employ artificial intelligence for faster national environmental approvals could generate “Robodebt‑style” failures, further endangering already vulnerable species.

The council has asked the federal government to allocate $13 million for a pilot that would use AI to help companies draft assessment applications and assist regulators in decision‑making.

The Biodiversity Council – a consortium of independent experts from eleven universities – told Guardian Australia that while AI may assist with routine tasks, automating whole environmental assessments could lead to opaque, flawed decisions that push threatened species closer to extinction.

“Robodebt” refers to the automated welfare‑debt recovery scheme that, between 2015 and 2019, wrongly accused hundreds of thousands of Australians of overpayments, highlighting the danger of opaque algorithmic judgments.

Lis Ashby, the Biodiversity Council’s lead on policy and innovation, noted that the cornerstone of Australia’s environmental protection, the Environment Protection and Biodiversity Conservation (EPBC) Act, is riddled with vague language and broad ministerial discretion, which hampers rule‑based decision‑making and would be even more problematic for an AI tool.

She added that establishing clear rules in the National Environmental Standards, including explicit definitions of unacceptable outcomes, would accelerate assessment times even without AI and is essential for any future automation.

Brendan Sydes, national biodiversity policy adviser at the Australian Conservation Foundation, expressed scepticism, stating that “technology can be a good servant but a poor master.” He urged the government to focus on closing existing data gaps on threatened species and habitats rather than relying on AI.

Prof. David Lindenmayer, a forest ecologist at the Australian National University and Biodiversity Council member, highlighted that one‑third of Australia’s threatened species have not been monitored and many others suffer from patchy data, gaps traditionally filled by expert consultation.

He warned that AI decisions are only as reliable as the data they are fed, and most threatened species lack publicly available information, even basic location data, risking decisions based on outdated or incomplete evidence.

The Albanese government recently passed reforms to the EPBC Act after a 2020 review found the legislation failing to protect species and habitats.

Prof. Hugh Possingham, a leading conservation biologist at the University of Queensland, argued that AI models need robust training material, and the past two decades of EPBC approvals are “clearly unsuitable” because the Act has demonstrably failed to safeguard the environment. He suggested that hiring more human assessors would be a more effective way to speed up evaluations.

Tania Constable, chief executive of the Minerals Council, dismissed the Robodebt comparison as “disappointing,” insisting the proposal is innovative and could strengthen environmental protection while improving efficiency. She said the AI tools would support human decision‑making for both regulators and project proponents, helping navigate the complexity of EPBC assessments.

A federal government spokesperson said budget decisions on the AI trial will be made “in due course,” but the environment department is exploring how AI could simplify application processes. The statement emphasized that “decisions about whether to approve projects must, and will, always be made by assessment officers, not by AI.”

Nonetheless, officials acknowledged that AI tools have the potential to save time, reduce uncertainty, and translate technical language for stakeholders.