Ethical Risk Assessment Prompt for Research Proposals
Step-by-step AI prompt design for dual-use risks, privacy, fairness, and unintended consequences in research proposals with guidelines and precedents.
Objective: Create a reusable AI prompt template that systematically guides ethical and risk assessment of research proposals by examining dual-use risks, privacy implications, fairness issues, and unintended consequences while citing relevant guidelines and historical precedents.
The base prompt was formed through these deliberate design steps:
- Identify the core analytical sequence required for thorough ethical review so the AI always follows the same logical order.
- Isolate fixed instructional language that remains constant across uses and convert those passages into reusable snippets.
- Extract elements that must change with each new proposal or audience and convert them into variables.
- Embed explicit requirements to reference established frameworks and real historical cases so the output stays grounded and evidence-based.
- Add structural markers that force step-by-step reasoning and clear separation of each risk category.
Keeping the analytical order fixed (dual-use → privacy → fairness → unintended consequences) prevents the AI from skipping categories or mixing concerns.
{{snippet:brand_voice}}
You are an expert ethics reviewer. Conduct a structured ethical and risk assessment of the following research proposal.
Proposal title: {{proposal_title}}
Proposal summary: {{proposal_summary}}
Target audience: {{target_audience}}
Assessment tone: {{tone}}
Proceed step by step through the four required areas:
1. Dual-use risks
2. Privacy implications
3. Fairness issues
4. Unintended consequences
For each area:
- Describe potential risks in concrete terms.
- Cite at least one relevant guideline or framework (for example Belmont Report, UNESCO Recommendation on the Ethics of AI, or institutional dual-use policies).
- Reference one historical precedent that illustrates the risk.
- Suggest practical mitigation measures.
{{snippet:citation_and_precedent_rules}}
End with a concise overall risk rating and a prioritized list of recommended actions.
| Element | Type | Example Value |
|---|---|---|
| {{snippet:brand_voice}} | snippet | Maintain a clear, balanced, and professional tone suitable for institutional ethics review committees. |
| {{proposal_title}} | variable | Genomic Surveillance of Emerging Pathogens |
| {{proposal_summary}} | variable | A project that develops AI models to predict pathogen evolution from open genomic data and clinical metadata. |
| {{target_audience}} | variable | University research ethics board |
| {{tone}} | variable | formal and precise |
| {{snippet:citation_and_precedent_rules}} | snippet | Always name the specific guideline or framework and the historical case. Prefer publicly available sources such as Belmont Report principles, dual-use research of concern criteria, or well-documented incidents such as the 2011 H5N1 transmission studies. |
Place citation and historical-precedent requirements inside a snippet so they appear consistently without rewriting them for every new proposal.
Maintain a clear, balanced, and professional tone suitable for institutional ethics review committees.
You are an expert ethics reviewer. Conduct a structured ethical and risk assessment of the following research proposal.
Proposal title: Genomic Surveillance of Emerging Pathogens
Proposal summary: A project that develops AI models to predict pathogen evolution from open genomic data and clinical metadata.
Target audience: University research ethics board
Assessment tone: formal and precise
Proceed step by step through the four required areas:
1. Dual-use risks
2. Privacy implications
3. Fairness issues
4. Unintended consequences
For each area:
- Describe potential risks in concrete terms.
- Cite at least one relevant guideline or framework (for example Belmont Report, UNESCO Recommendation on the Ethics of AI, or institutional dual-use policies).
- Reference one historical precedent that illustrates the risk.
- Suggest practical mitigation measures.
Always name the specific guideline or framework and the historical case. Prefer publicly available sources such as Belmont Report principles, dual-use research of concern criteria, or well-documented incidents such as the 2011 H5N1 transmission studies.
End with a concise overall risk rating and a prioritized list of recommended actions.
Extended example values:
-
{{snippet:brand_voice}}
- Maintain a clear, balanced, and professional tone suitable for institutional ethics review committees.
- Adopt a cautious yet constructive voice that highlights both risks and feasible safeguards.
- Use language appropriate for funding agency reviewers who value transparency and accountability.
-
{{proposal_title}}
- Genomic Surveillance of Emerging Pathogens
- Large-Scale Social Media Sentiment Analysis for Public Health
- Autonomous Drone Mapping of Protected Habitats
-
{{proposal_summary}}
- A project that develops AI models to predict pathogen evolution from open genomic data and clinical metadata.
- Collection and analysis of public social media posts to detect early signals of disease outbreaks.
- Deployment of autonomous aerial systems to generate high-resolution ecological maps in conservation zones.
-
{{target_audience}}
- University research ethics board
- National research funding agency
- Institutional biosafety committee
-
{{tone}}
- formal and precise
- measured and advisory
- rigorous yet accessible
-
{{snippet:citation_and_precedent_rules}}
- Always name the specific guideline or framework and the historical case. Prefer publicly available sources such as Belmont Report principles, dual-use research of concern criteria, or well-documented incidents such as the 2011 H5N1 transmission studies.
- Reference at least one international standard and one real-world case for every risk category.
- Prioritize guidelines that are openly accessible and historically significant cases that produced lasting policy changes.