Safety and ethics
XinFora AI is not a therapist, AI therapist, diagnosis tool, medical device, healthcare provider, treatment platform, crisis-intervention service, clinical decision-support product, peer-review journal, regulator, or certification authority.
Not therapy, not diagnosis
XinFora AI is a professional innovation, knowledge-sharing, and collaboration platform. It does not provide therapy, diagnosis, medical advice, crisis counseling, clinical services, or emergency support.
Prototype transparency
Sample profiles, projects, activity numbers, discussions, jobs, grants, funding information, and metrics should be treated as prototype examples unless explicitly marked as real public ecosystem references.
No implied affiliation
Public listings of companies, institutions, tools, datasets, or papers do not imply partnership, endorsement, sponsorship, collaboration, or approval by those organizations.
Review boundary
XinFora review checks provenance, identity signals, policy compliance, categorization, and presentation quality. It is not journal peer review, regulatory approval, clinical validation, or an endorsement by XinFora AI.
XinCoin boundary
XinCoin is a non-transferable community contribution point. It has no monetary value and cannot be purchased, sold, transferred, invested, traded, or redeemed for cash.
Expert access boundary
Reputation can support limited structured contact requests, not automatic access to private email addresses, phone numbers, WeChat accounts, private LinkedIn information, or unlimited messaging.
XinBot boundary
XinBot can answer questions about XinFora, communities, submissions, Paper versus Insight, XinCoin, moderation, reports, and structured expert requests. It cannot provide mental-health assessment, diagnosis, treatment, medication advice, or crisis support.
Human oversight
Mental health AI tools should define intended use, not-intended use, escalation boundaries, and qualified human review requirements before real-world deployment.
Responsible AI
Projects should document limitations, evaluation methods, hallucination risks, safety tests, model dependencies, and monitoring plans.
Cultural sensitivity
Bilingual and cross-cultural tools should account for language, stigma, family systems, local care pathways, and context-specific harm risks.
Privacy-first future architecture
Future backend integrations should minimize sensitive data, separate public profile data from private collaboration data, and provide auditability and consent controls.
Clinical validation
Any tool claiming clinical benefit should be evaluated through appropriate research, regulatory, organizational, and clinical governance before deployment.
Reporting unsafe tools
The future product should support community reporting, expert review queues, moderation, and transparent safety labels.