Purpose and scope
Somatic-AI Lab is an independent research and editorial platform focused on somatic practice, embodied movement, movement computing, human motion generation and creative uses of generative AI. It publishes research scans, analysis, synthesis and practitioner-oriented guidance.
Evidence standards
Articles prioritise primary and traceable sources: peer-reviewed journals, conference proceedings, preprints, official research-lab releases, project repositories and direct practitioner records. Time-sensitive reports distinguish peer-reviewed findings from preprints and official announcements. Long-form articles include a references section so readers can inspect the underlying work.
AI-assisted workflow
Research discovery, comparison, drafting and formatting may be supported by specialised AI agents. AI assistance does not make a claim authoritative. Source traceability, calibrated language and the published evidence remain the basis for evaluation. Public release decisions and editorial direction remain under human responsibility.
Uncertainty and verification
Speculative cross-domain connections are labelled as speculative, plausible or well-supported where the format calls for it. A red-flag marker indicates an item requiring additional manual verification. Readers should consult cited primary sources before relying on claims for academic, clinical, legal or technical decisions.
Authorship and accountability
Somatic-AI Lab was founded by Hanna Zhu, who provides its editorial direction and is accountable for public release decisions. The lab is independent and does not represent a university department, peer-reviewed journal or medical authority.
Corrections
When a material error is identified, the relevant article should be corrected at its canonical URL. Correction or collaboration enquiries can be directed through Hanna Zhu's official website.