Prompt lesson · 22 prompts
AI & ChatGPT for Ethical Considerations prompts for Research Scientists
22 ready-to-use prompts from our AI for Research Scientists course. Copy one, fill in the {{placeholders}}, and paste it into ChatGPT, Claude, Gemini or any other AI.
Applying Ethical Research Guidelines
Use this when you need to ensure research complies with ethical principles like informed consent, privacy, and data anonymization.
Role You are a research ethics trainer. Your goal is to explain and apply core ethical guidelines in research, ensuring the protection of participants and data integrity.
Context you provide
- {{research_field}}: The specific field (e.g., clinical trials, social science, educational research).
- {{study_type}}: The type of study (e.g., survey, experiment, longitudinal).
- {{participant_group}}: The population involved (e.g., adults, children, patients).
- {{guideline_focus}}: The principle to focus on (e.g., informed consent, privacy, data anonymization).
Instructions
- Ask for missing inputs before starting.
- Define the selected ethical guideline in the context of the research field.
- Explain its significance and how it applies to the specific study type and participant group.
- Provide practical steps for implementation, including any specific techniques (e.g., encryption, de-identification).
- Highlight common pitfalls and additional safeguards for vulnerable populations.
Output format Provide a structured explanation with sections: Definition, Importance, Implementation Steps, and Common Pitfalls. Use clear, educational language. Aim for 300-500 words.
Guardrails Do not provide legal advice; refer to institutional review boards or legal counsel. Do not oversimplify ethical complexities; acknowledge nuances. Stay within the scope of the provided inputs.
Example Research field: clinical trials; study type: phase 1 drug trial; participant group: healthy volunteers; guideline_focus: informed consent.
Open this prompt Learning · Beginner
Audit Research for Bias and Fairness
Use this when you need to critically review a study or article for potential biases and get strategies to improve fairness.
Role You are a rigorous research methodologist who identifies subtle biases in study design, data collection, and analysis, and proposes practical mitigation strategies.
Context you provide
- {{study_title}}: The title or description of the study or article to review.
- {{research_design}}: Brief summary of the methodology (e.g., randomized controlled trial, survey, qualitative).
- {{data_collection}}: How data was collected (e.g., online survey, interviews, existing dataset).
- {{analysis_method}}: Statistical or analytical techniques used (e.g., regression, thematic analysis).
Instructions
- Ask for missing context if any of the above is not provided.
- Review the research design for selection bias, confounding, and other methodological biases.
- Examine data collection methods for sampling bias, measurement bias, or non-response bias.
- Evaluate the analysis for p-hacking, cherry-picking, or inappropriate statistical tests.
- For each identified bias, explain its potential impact on findings and propose specific, actionable mitigation strategies.
Output format A structured report with sections: Potential Biases (each with explanation and impact), Mitigation Strategies, and a summary of overall fairness. Use clear headings and bullet points. Tone should be objective and constructive.
Guardrails
- Do not invent details about the study; base analysis only on provided information.
- Flag any assumptions about the methodology.
- Stay within the scope of bias and fairness; do not provide general research advice.
Example Study title: 'The Impact of Remote Work on Productivity', design: survey of employees, data collection: online questionnaire, analysis: linear regression.
Open this prompt Analysis · Advanced
Data Anonymization Best Practices
Use this when you need expert guidance on anonymizing research data to protect participant privacy.
Open this prompt Analysis · Intermediate
Data Sharing and Ownership Ethics
Use this when you need to navigate the ethical and practical aspects of data sharing, ownership, and credit in research collaborations.
Open this prompt Analysis · Intermediate
Detect and Mitigate Research Bias
Use this when you need to proactively identify and address biases in your own research design, data collection, or analysis.
Open this prompt Analysis · Advanced
Ethical Data Science Practices
Use this when you need to address ethical challenges in data science, such as algorithmic bias, privacy, and transparency.
Open this prompt Analysis · Intermediate
Ethical Decision-Making in Research
Use this when you need a structured dialogue to navigate complex ethical dilemmas in research and development.
Open this prompt Decisions · Intermediate
Ethical Guidelines Checker
Use this when you need to evaluate a research proposal or study design for adherence to ethical standards.
Open this prompt Analysis · Intermediate
Ethical Implications Analyzer
Use this when you need to assess the broader societal, environmental, or cultural impacts of a technology or research finding.
Open this prompt Analysis · Intermediate
Ethical Implications of Emerging Tech
Use this when you need to explore the ethical challenges and responsible development of emerging technologies.
Open this prompt Analysis · Advanced
Ethical Research with Vulnerable Groups
Use this when you need guidance on conducting ethical research involving vulnerable populations, ensuring their rights and well-being are protected.
Open this prompt Planning · Intermediate
Informed Consent Facilitator
Use this when you need to draft or improve informed consent forms for research studies.
Open this prompt Creating · Beginner
Informed Consent Form Template
Use this when you need a template or example of an informed consent form for a specific type of research.
Open this prompt Creating · Beginner
Manage Research Conflicts of Interest
Use this when you need to understand how financial, personal, or institutional interests can bias research and how to manage them.
Open this prompt Analysis · Intermediate
Monitor Conflicts of Interest
Use this when you need to proactively identify and manage conflicts of interest in collaborations, funding, or product testing.
Open this prompt Planning · Intermediate
Navigating Dual-Use Research Ethics
Use this when you need to evaluate the ethical implications of research that could be misused, and develop strategies for responsible conduct.
Open this prompt Analysis · Advanced
Privacy Protection in Research
Use this when you need to implement data protection measures for research participant privacy.
Open this prompt Analysis · Intermediate
Promote Research Transparency
Use this when you need to plan or advocate for open science practices like pre-registration, data sharing, and reproducibility in research.
Open this prompt Planning · Intermediate
Research Ethics Review Preparation
Use this when you need to prepare a research proposal for ethics committee review or understand the review process.
Open this prompt Planning · Intermediate
Research Misconduct Detection Review
Use this when you need to analyze a research paper or proposal for potential misconduct, such as plagiarism or data fabrication.
Open this prompt Analysis · Advanced
Responsible Data Sharing Guidance
Use this when you need advice on sharing research data responsibly, including de-identification, security, access controls, and risk assessment.
Open this prompt Planning · Intermediate
Understanding and Preventing Research Misconduct
Use this when you need to understand, prevent, or address research misconduct such as plagiarism and data fabrication.
Open this prompt Learning · Beginner