Transparency isn't a footnote — it's the framework that makes the experimental work possible.
WARLAB operates under a written governance charter that defines organizational boundaries, data handling policies, AI tool usage guidelines, output review processes, and disclosure requirements.
WARLAB (Workforce Analytics Research Lab) is an independent educational research project exploring the application of AI tools — including large language models, agentic workflows, and analytical platforms — to workforce analytics and people analytics domains. All work is conducted using publicly available data, synthetic datasets, and general domain knowledge.
WARLAB is not affiliated with, endorsed by, sponsored by, or representative of any employer, corporation, financial institution, or commercial entity. No proprietary data, confidential information, or employer-specific methodologies are used. The project represents independent educational exploration only.
All data sources fall into three categories: (1) Publicly available datasets and government statistics, (2) Synthetically generated data explicitly labeled as such, (3) Published academic research and open-source references. No personally identifiable information (PII) is collected, stored, or processed.
AI tools are central to WARLAB's work and are disclosed explicitly in every output. Each project documents which AI tools were used, how they were applied, and what role they played in generating the output. AI-generated content is published for practitioner evaluation — not as vetted conclusions.
All published content undergoes review for factual accuracy, data integrity, and appropriate disclosure. However, AI-generated materials may contain errors, omissions, or biases inherent in current AI systems. Users should independently verify all content before relying on it.
Every published WARLAB output includes appropriate disclosure language. Three standard formats are maintained: long-form disclosure (for detailed pages), two-line footer (for documents and web pages), and single-line footer (for slides and compact contexts).