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Responsible Qualitative AI Readiness Assessment

Is Your Qualitative Research Ready for AI?

Answer a few questions to evaluate whether you have the privacy, methodological, and human-review safeguards needed to use generative AI in qualitative research.

You will receive a readiness result and practical next steps based on your role.

Time: Approximately 4 minutes

Please do not enter participant information, research data, or confidential project details into this assessment.

This assessment provides general educational guidance. It does not constitute legal advice, IRB approval, institutional authorization, or confirmation that a particular platform is appropriate for your data.

About You

Which best describes your role?

Which best describes your role?
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2. How are you using—or considering using—AI?

2. How are you using—or considering using—AI?

Academic Pathway

Organizational Pathway

Consultant and Evaluator Pathway

Shared Readiness Questions

3. What type of information would you enter into the AI platform?

3. What type of information would you enter into the AI platform?
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B
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D

4. Have you reviewed how the platform stores, uses, retains, shares, and deletes submitted data?

4. Have you reviewed how the platform stores, uses, retains, shares, and deletes submitted data?
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B
C
D

5. Have you clearly defined what AI will and will not do?

5. Have you clearly defined what AI will and will not do?
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B
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D

6. Is the proposed use aligned with the research question and analytic methodology?

6. Is the proposed use aligned with the research question and analytic methodology?
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7. Will researchers systematically compare AI-generated outputs with the original data?

7. Will researchers systematically compare AI-generated outputs with the original data?
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D

8. Does the analytic process examine context, contradictions, outliers, and less-common perspectives?

8. Does the analytic process examine context, contradictions, outliers, and less-common perspectives?
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B
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D

9. Do you have a process for identifying inaccurate, unsupported, biased, or decontextualized AI output?

9. Do you have a process for identifying inaccurate, unsupported, biased, or decontextualized AI output?
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B
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D

10. Will qualified researchers remain responsible for final interpretations and conclusions?

10. Will qualified researchers remain responsible for final interpretations and conclusions?
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B
C
D

Contact Information

Your Results Are Ready

Enter your information to view your result and recommended next steps.
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