1.20: Verification Checklist for AI-Assisted Research — Read

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LLM-Assisted Research Verification Checklist

Academic researchers are increasingly incorporating AI into their research and writing processes. However, because of concerns about hallucinations with LLMs as well as ethical issues like copyright, it’s important to plan and document your use of AI. Below is a verification checklist you can use or modify to fit your research project. It includes considerations for the pre-research phase, the research phase, and the post-research phase. Not every item on the checklist will fit your project, so feel free to modify this checklist.

Pre-Research Phase

Model Documentation

Document the specific LLM used (model name, version, provider)
Record known limitations and biases of the chosen model
Document any fine-tuning or modifications made to the base model
Note the model’s knowledge cutoff date and potential implications

Prompt Engineering

Document all prompts used in the research
Validate that prompts are clear and unambiguous
Test prompts with different phrasings to ensure consistency
Record any prompt refinements and their justification

During Research Phase

Data Verification

Cross-reference LLM-provided facts with primary sources
Verify all citations and references provided by the LLM
Document cases where the LLM generates incorrect or hallucinated information
Maintain a log of verification attempts and their outcomes

Output Analysis

Check for internal consistency across multiple LLM responses
Validate mathematical calculations independently
Review logical reasoning steps for completeness and accuracy
Document any contradictions or inconsistencies in responses

Methodology Documentation

Record all interactions with the LLM
Document the decision-making process for accepting/rejecting LLM outputs
Note any technical issues or limitations encountered
Track time spent on verification versus direct LLM interaction

Post-Research Phase

Quality Control

Have independent researchers verify key findings
Compare LLM-assisted results with traditional research methods
Identify potential biases introduced by LLM usage
Document unexpected or anomalous results

Reproducibility

Ensure all prompts and interactions are properly documented
Verify that results can be reproduced by other researchers
Document environmental factors that might affect reproducibility
Create detailed instructions for replication attempts

Ethical Considerations

Assess potential ethical implications of LLM usage
Document measures taken to protect privacy and confidentiality
Consider potential biases in research outcomes
Evaluate the impact on different stakeholder groups

Publication Preparation

Transparency

Clearly state the role of LLMs in the research
Document limitations and potential biases
Provide complete methodology for LLM usage
Include example prompts and responses where relevant

Documentation

Prepare supplementary materials detailing LLM usage
Include verification procedures and results
Document all modifications to LLM outputs
Provide access to raw LLM interactions where possible

Peer Review Considerations

Prepare responses to anticipated methodology questions
Document validation procedures for peer review
Include comparison with traditional methods
Provide justification for LLM usage in research

Long-term Considerations

Archival

Create backups of all LLM interactions
Document the research environment and technical setup
Archive prompts and responses in a retrievable format
Maintain version control for research materials

Future Verification

Plan for future replication attempts
Document potential technological obsolescence issues
Consider long-term accessibility of research materials
Prepare for potential model updates or deprecation

Notes and Recommendations

Regularly update this checklist based on new developments in LLM technology
Adapt the checklist to specific research domains and requirements
Consider institutional policies and guidelines regarding LLM usage
Maintain open communication with other researchers about best practices

I acknowledge the use of Claude.ai to assist with generating this verification checklist. Here is a link to the artifact.

This page titled 1.20: Verification Checklist for AI-Assisted Research was last modified on Wed, 04 Feb 2026 19:14:28 GMT and is shared under a CC BY-NC-SA 4.0 license and was authored, remixed, and/or curated by Liza Long via source content that was edited to the style and standards of the LibreTexts platform.

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