CAISI to Host Listening Sessions on Barriers to AI Adoption
CAISI's sector-specific AI adoption research may yield reusable frameworks on barriers and enablers that Australian agencies could draw on.
Key points
- NIST's CAISI is hosting virtual workshops in May 2026 on AI adoption barriers in healthcare, finance, and education.
- Findings will inform CAISI's AI adoption guidance under the US AI Action Plan - outputs may have broader international relevance.
- Limited direct relevance to Australian federal agencies; sector focus is US-specific, though emerging findings are worth monitoring.
Implications for Australian agencies
- Monitor Policy teams working on AI adoption strategy may want to monitor CAISI's published outputs from these workshops for transferable insights on sector-specific barriers.
Implications are AI-generated. Starting points, not advice — see methodology for how they're framed.
View original source
Copied.
Appeared in:
Weekly digest, 16 February 2026
"CAISI to Host Listening Sessions on Barriers to AI Adoption"
Source: NIST – AI News (topic 2753736)
Published: 17 February 2026
URL: https://www.nist.gov/news-events/news/2026/02/caisi-host-listening-sessions-barriers-ai-adoption
NIST's Center for AI Standards and Innovation (CAISI) is convening virtual workshops throughout May 2026 to explore barriers and enablers to AI adoption across the healthcare, financial services, and education sectors. Submissions were sought from practitioners with direct procurement, evaluation, and integration experience. The insights gathered will directly inform CAISI's AI adoption guidance work, conducted in furtherance of the US AI Action Plan. While participation is US-focused, findings and outputs from these workshops may offer reusable evidence on sector-specific AI adoption challenges relevant to Australian policy development.
Implications for Australian agencies:
- [Monitor] Policy teams working on AI adoption strategy may want to monitor CAISI's published outputs from these workshops for transferable insights on sector-specific barriers.
Retrieved from SIMS, 18 July 2026.