Cognitive Sovereignty Self-Audit for Data Analysts
This audit measures whether AI tools are replacing your statistical reasoning or supporting it. The questions focus on moments where your own judgement should be driving the analysis, not following what the tool produces.
Before accepting any AI-generated SQL, trace through the joins and aggregations on paper. One wrong join can invalidate everything downstream.
Keep a record of times you found errors in AI output. Review it monthly. Patterns in those errors reveal which tool behaviours you need to watch closest.
When you hand off an analysis to stakeholders, explain which parts came from you and which came from AI. This builds accountability and helps stakeholders know what level of certainty to expect.
Once a month, answer a business question without using AI at all. This keeps your statistical instinct sharp and reminds you what the tool is actually doing for you.
If a stakeholder acts on your analysis and it turns out to be wrong, trace back through every step. If an AI tool provided a claim you did not verify, that is a sign to change your process next time.