Guide-linked quiz · Medium Level
AI Readiness Assessment for Organizations Quiz
Tests the areas of AI readiness, why averaged scores can mislead, and how behavioral anchors and evidence make maturity scoring reliable.
Question 1 of 8
Why can a single averaged readiness score be misleading?
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Answers and explanations appear as you take the quiz.
- Why can a single averaged readiness score be misleading?
- Averages are always too low
- Boards do not understand numbers
- It can hide a critical weak area that would sink a project
- Averages cannot be calculated for more than three areas
- What are behavioral anchors in a maturity scale?
- Concrete descriptions of what each score level looks like in practice
- Bonuses given to staff who adopt AI
- The names of executives who approve scores
- Software that records employee behavior
- In a readiness assessment, what does 'risk appetite' mean?
- The size of the AI budget
- The number of AI vendors under contract
- The speed at which models run
- How much uncertainty and possible harm leadership will accept to pursue AI benefits
- The nonprofit found staff pasting donor information into free chatbots. What did this move to the top of its action list?
- Hiring a data scientist
- An acceptable-use policy
- Buying more cloud compute
- A new website
- What tends to happen with self-assessments unless raters must provide evidence?
- Scores tend to be too low
- Scores become identical across areas
- Scores tend to be inflated
- Scores cannot be recorded
- The guide suggests readiness is most useful when judged against what?
- The requirements of specific candidate use cases
- A generic ideal that fits every organization
- Competitors' press releases
- The number of AI tools purchased
- Why did the retailer score only 2 on data?
- It had no sales data at all
- Its data was stored outside the country
- Its data had been deleted by a vendor
- Sales, inventory and loyalty data sat in separate systems with no shared customer ID
- Why did the logistics company repeat the same assessment 12 months later?
- Regulators required an annual audit
- To show measurable progress in skills and data after its investments
- Because the first assessment was lost
- To change vendors
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