Methodology
Research methodology
BSSI standards should emerge from structured analysis rather than assumptions about what AI education ought to contain.
Purpose
Determine what professionals actually need to know, understand, and demonstrate to use AI competently, effectively, safely, and responsibly in modern professional work.
Evidence sources
- Professional education research
- Review curriculum, projects, assessment, delivery, credential language, and demonstrated outputs.
- Employer research
- Examine workforce expectations, policies, skill gaps, and implementation requirements.
- Occupational analysis
- Study real workflows, responsibilities, information, risk, judgment, and error consequences.
- Technology and implementation research
- Monitor capabilities, limitations, governance, implementation practices, and documented failures.
- Subject-matter expert input
- Seek structured input from professionals, employers, educators, security/privacy specialists, and assessment experts.
Evidence evaluation
Evidence must be capable of changing a proposed requirement. The internal traceability model is evidence → finding → competency requirement → assessment principle → published standard.
Limitations and revision
Sources, selection criteria, dates, limitations, contributors, and relevant conflicts should be documented. Standards are reviewed and revised when credible evidence materially changes the requirement.