AI Now Coauthors Report on Surveillance Prices and Wages
Algorithmic price and wage surveillance is an emerging governance concern that Australian competition and labour regulators may be asked to address.
Key points
- AI Now Institute co-published a report on harms caused by algorithmic surveillance of prices and wages.
- Algorithmic price and wage surveillance has emerging relevance for Australian consumer and competition regulators.
- Extracted text is minimal; full report content and methodology are not assessable from this summary.
Summary
The AI Now Institute, alongside civil society organisations and experts, released a report examining how algorithmic surveillance of prices and wages harms the public. The report sits within AI Now's Privacy and Surveillance research area. The extracted text provides no substantive detail on findings, methodology, or recommendations, limiting assessment of its direct relevance to Australian policy work.
Implications for Australian agencies
- Monitor Agencies with interest in algorithmic pricing or labour market surveillance - such as ACCC or Fair Work - may want to review the full report when substantive findings become available.
Implications are AI-generated. Starting points, not advice.
"AI Now Coauthors Report on Surveillance Prices and Wages" Source: AI Now Institute – Publications Published: 20 February 2025 URL: https://ainowinstitute.org/publications/ai-now-coauthors-report-on-surveillance-prices-and-wages The AI Now Institute, alongside civil society organisations and experts, released a report examining how algorithmic surveillance of prices and wages harms the public. The report sits within AI Now's Privacy and Surveillance research area. The extracted text provides no substantive detail on findings, methodology, or recommendations, limiting assessment of its direct relevance to Australian policy work. Implications for Australian agencies: - [Monitor] Agencies with interest in algorithmic pricing or labour market surveillance - such as ACCC or Fair Work - may want to review the full report when substantive findings become available. Retrieved from SIMS, 18 May 2026.