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AI-Generated Tools for Academic Research

A guide that outlines the key features, benefits, drawbacks, and potential applications of AI-powered research tools.

Guidelines for AI Use in Research: Ethical Considerations

AI-generated research tools can support or hinder your intellectual, creative, and professional growth. Accordingly, we expect that you will use AI-based tools responsibly, with care, and with an eye toward understanding their systemic harms and benefits. This means among other things that you consider the following:

  1. Transparency & Disclosure

  • Fully document AI's role in research:

    •    Explicitly cite AI tools used when appropriate
    •    Explain specific contributions of AI rather than copying and pasting the output and calling it your own 
    •    Highlight limitations and potential biases
    •    Provide context for AI-generated content
    • Understand the tool's methodology and capabilities
  1. Authority Evaluation

  • Critically assess AI as a source:
    • Examine developer transparency
    • Investigate training data methodologies
    • Check for potential conflicts of interest
    • Do not automatically treat AI as an equivalent to human experts
    • Consider the reputation of the AI tool's creators

  1. Accuracy Validation

  •    Rigorously validate AI-generated content:
    •    Request and cross-check sources
    •    Seek evidence of human oversight 
    •    Independently verify information from multiple sources
    •    Be aware of potential hallucinations or inaccuracies
    • Maintain critical thinking and scholarly rigor

  1. Privacy Considerations

  •    Be mindful of potential privacy implications:
    •    Avoid uploading sensitive or personal information  
    •    Review the basic privacy platforms of AI platforms 
    • Be cautious about data sharing and storage