Life Science AI
Free Resource
AI Safety & Transparency Checklist
For Social & Marketing Teams
1
AI Usage Disclosure
- •Clearly disclose when content is AI-generated or AI-assisted.
- •Label AI-generated visuals where required.
- •Avoid misleading audiences about authorship.
2
Human Oversight
- •Ensure human review before publishing.
- •Manually verify factual claims.
- •Align tone with brand values.
3
Data Privacy & Protection
- •Do not upload confidential client or patient data to public AI tools.
- •Comply with relevant privacy regulations.
- •Anonymise sensitive information before processing.
4
Bias & Ethical Review
- •Review for cultural bias or stereotypes.
- •Ensure inclusive imagery and messaging.
- •Confirm fairness across audience groups.
5
Accuracy & Misinformation
- •Verify statistics from trusted sources.
- •Have professionals review clinical or financial claims.
- •Fact-check AI outputs.
6
Intellectual Property
- •Confirm AI-generated visuals are copyright-safe.
- •Avoid trademark misuse.
- •Respect third-party rights.
7
Brand & Reputation
- •Ensure alignment with mission and ethics.
- •Confirm leadership would stand behind the content.
- •Avoid over-promising AI capabilities.
8
Security Controls
- •Train teams in prompt hygiene.
- •Secure access to AI platforms.
- •Protect API keys and credentials.
9
Regulatory Compliance
- •Identify relevant industry standards.
- •Ensure marketing claims meet regulatory requirements.
- •Escalate high-risk content for executive review.
10
Transparency with Audience
- •Communicate how AI enhances services.
- •Clarify AI supports—not replaces—human expertise.
- •Maintain ethical disclosure standards.
Life Science AI — Human-centred AI governance for responsible innovation.