How I use AI
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Idea generation and source discovery. I may use AI to brainstorm questions, identify potential references, or outline alternative structures.
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Clarity and efficiency. I may use AI to propose phrasing options or summarize long materials for my initial review.
What I commit to
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Transparency. I will disclose when and how AI assisted the work so you—and your readers—understand its role in the process.
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Ethical use and privacy. I do not enter confidential or proprietary material into open generative AI tools. I use paid, enterprise-grade large language models to better protect information privacy.
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Human responsibility for accuracy. I take full responsibility for the content I deliver. Claims and citations are verified against original sources, not AI output.
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Attribution. When AI meaningfully contributes to ideas, wording, analysis, or research scaffolding, I will credit the tool and describe its role.
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Audience-appropriate adaptation. Outputs are edited for scientific accuracy, readability, and audience needs (researchers, health innovators, or the general public).
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Ongoing review. I update my practices as the technology and professional guidance evolve.
What I don’t use AI for
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Generating unverified claims, citations, or data.
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Handling client confidential information in unsecured environments.
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Producing final drafts without human editing and fact-checking.
Alignment with professional guidance
These practices align with leading guidance (e.g., APA Journals policy on generative AI and the AMA’s new principles of use for AI in medicine): disclose use, protect privacy, verify sources, attribute assistance, and keep humans accountable for the final work.
If you have organization-specific AI requirements, I will incorporate them into the proposal and follow them throughout the project.