Understanding what AI tools can and cannot do, then applying prompts and automation to raise productivity.
AI Utilization is the competency of understanding diverse AI tools and services and effectively applying them to your work and goals. It spans prompt crafting, workflow automation, and AI-driven decision-making, with a focus on maximizing productivity and creativity while recognizing the limitations and ethical dimensions of AI. It also includes the capacity to continuously learn and adapt in a rapidly evolving AI landscape.
Structures AI competency into Acquire-Deepen-Create stages with 5 core domains (human-centered mindset, AI ethics, technical knowledge, pedagogical integration, professional development), providing rationale for level boundary design.
Categorizes generative AI proficiency into Base-Simple-Complex-Custom-Task Specific stages with practice-oriented behavioral criteria, providing measurable action indicators for checklist item design.
Industry-standard competency framework structuring AI/ML skills across 7 responsibility levels (Follow to Set strategy), providing authoritative grounding for autonomy, influence, and complexity criteria in level design.
EU digital competence framework providing 250+ examples of knowledge, skills, and attitudes for AI interaction, serving as public evidence base for checklist items on fact-checking, privacy, and ethical judgment in AI tool usage.
