Australians Express Low Trust In AI Companies
Documented low public trust in AI - backed by OAIC and EY data - raises the policy salience of AI transparency and community engagement for federal agencies.
Key points
- OAIC data shows only 4% of Australians trust AI companies with their private information.
- Assistant Minister Andrew Charlton has warned of a potential US-style anti-AI backlash in Australia.
- Item reports survey findings and political signals but announces no regulatory changes or new policy measures.
Implications for Australian agencies
- Consider Agencies developing public-facing AI services or communications strategies may want to consider how low baseline public trust shapes community engagement and transparency obligations.
- Monitor Policy teams may want to monitor whether ministerial signals and survey trends translate into accelerated regulatory attention or tightened data-protection scrutiny.
Implications are AI-generated. Starting points, not advice — see methodology for how they're framed.
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Weekly digest, 1 June 2026
"Australians Express Low Trust In AI Companies"
Source: Let's Data Science – AI Governance
Published: 3 June 2026
URL: https://letsdatascience.com/news/australians-express-low-trust-in-ai-companies-f63443cd
ABC reporting, summarised here, draws on an EY 23-country survey and OAIC research to show Australians rank among the most distrustful of AI globally, with only 4% willing to trust AI companies with personal data and just 1% expressing complete trust in responsible AI use. Assistant Minister Andrew Charlton has flagged concern about a potential anti-AI backlash, and local opposition to data centre construction - including a paused Perth development - illustrates the practical frictions this sentiment creates. No immediate regulatory changes are announced; the significance is in the political and community context surrounding AI governance.
Implications for Australian agencies:
- [Consider] Agencies developing public-facing AI services or communications strategies may want to consider how low baseline public trust shapes community engagement and transparency obligations.
- [Monitor] Policy teams may want to monitor whether ministerial signals and survey trends translate into accelerated regulatory attention or tightened data-protection scrutiny.
Retrieved from SIMS, 18 July 2026.