Capability 4.3.2.2
Trust & Confidence in Private Sector
Definition
Consumer confidence that private sector AI systems will be transparent, fit for purpose, safe, reliable, easy to use, convenient and accessible, and trust in companies to deploy AI responsibly, ethically and in the interests of customers and society.
Examples
- Singapore AI verify
- NAIC benchmarks
- MIT AI Incident Tracker.
Indicators
- Percentage of people expressing trust in businesses using AI responsibly (e.g. Ipsos)
- Percentage of decision-makers confident that AI investment provides ROI
- Number of companies participating in certification programs, standards or voluntary codes
- Existence of AI incident reporting
National AI Plan
PLAN COMMITMENT
Limited commitment
Narrative focus on promoting responsible practice, including via guidance, transparency measures and international standards. Refers to voluntary standards participation and assurance guidance to enable trusted deployment (Action 8), but no specific initiatives to increase public trust in deployment of AI in the private sector. Noting that the responsibility to close this gap sits with the private sector. Limited commitment by government is a missed opportunity to engage with the private sector to increase domestic maturity in a globally scarce capability with high public interest value.
Stocktake
Trust, attitudes and use of artificial intelligence: A global study 2025. KPMG International and the University of Melbourne. April 2025. https://mbs.edu/faculty-and-research/trust-and-ai
Global Views on AI 2023. IPSOS. July 2023. https://www.ipsos.com/sites/default/files/ct/news/documents/2023-07/Ipsos%20Global%20AI%202023%20Report.pdf
Minderoo Foundation Report on Public Perceptions of AI. Talbot Mills Research. August 2025. https://cdn.minderoo.org/assets/documents/AI-attitudes-report-August-2025.pdf
Is the Stocktake missing evidence?
Share additional information for potential future Assessments