For AI founders operating in regulated sectors, social media is a high-stakes channel. Build trust by balancing transparency, accuracy, and compliance. The goal is to educate stakeholders, attract responsible customers, and document a governance trail for regulators and partners. Use social to demonstrate responsible AI, avoid overselling, and refrain from exposing sensitive data.

• Establish a pre-approval workflow with legal and compliance for all public posts and assets; maintain a living content calendar.
• Develop a distinct brand voice centered on safety, accuracy, and verifiable claims; avoid speculative language about performance.
• Anchor every claim to verifiable data or internal standards; cite internal guidelines and add a disclosure when appropriate.
• Include data handling and privacy disclosures when posts reference datasets or model training; specify anonymization and access controls.
• Implement a post-review checklist: verify claims, data sources, risk disclosures, and regulatory considerations; require sign-off before publishing.
• Maintain crisis response templates and response rules for inquiries about safety, privacy incidents, or regulatory requests; rehearse with senior leadership.
• Tailor formats to platforms and audiences: LinkedIn for professional updates, X for concise threads with disclaimers, YouTube explainers with captions; ensure accessibility.

• Overclaim AI capabilities or guarantee outcomes.
• Share patient or customer data or real-world examples without explicit consent.
• Publish posts that expose confidential training data or internal tooling.
• Publish without legal/compliance reviews or a content calendar; skip governance steps.
• Ignore regulatory updates or platform policies when messaging evolves.
• Discard archiving and audit trails; delete posts or versions after publishing.

• Run a preflight check before posting: is the claim verifiable, is data usage compliant, is there a risk disclosure?
• Include a privacy or data handling disclaimer on posts referencing datasets or training data.
• Maintain an internal policy page linked from posts and provide access to reviewers.
• Archive each post with version, reviewer, publish date, and performance notes.
• Monitor regulator inquiries and public sentiment; adjust messaging accordingly while staying compliant.

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