AIRS & Appropriate Reliance Research
AIRS & Appropriate Reliance Research
Domain knowledge for AI adoption measurement, psychometric instrument development, and appropriate reliance research
This skill contains knowledge about the AIRS-16 validated instrument, the proposed AIRS-18 extension with Appropriate Reliance (AR), and research methodologies for studying AI adoption and human-AI collaboration.
When to Use
- Discussing AIRS-16 or AIRS-18 instruments
- Developing or extending psychometric scales
- Analyzing AI adoption patterns
- Researching appropriate reliance / trust calibration
- Preparing academic papers or research briefs
- Meeting preparation with researchers
AIRS-16: AI Readiness Scale
More from fabioc-aloha/lithium
bicep avm mastery
Azure Verified Modules (AVM), Bicep best practices, and MCP-powered infrastructure as code for Azure
9brain qa
Semantic, logic, code, and architectural validation of Alex's cognitive architecture — not just file counts, but meaning coherence
1infrastructure as code skill
**Domain**: DevOps & Cloud Engineering
1skill-activation
Internal metacognitive skill for automatic capability discovery — self-triggers when uncertain about available skills
1dream-state
Neural maintenance, synapse validation, automated health diagnostics, and unconscious processing
1ui/ux design
User interface design, user experience optimization, accessibility compliance, design systems
1