Cuestionario vinculado a una guía · Medio Nivel

Prueba de evaluación de la preparación de la IA para organizaciones

Prueba las áreas de preparación para la IA, por qué las puntuaciones promedio pueden inducir a error y cómo los anclajes de comportamiento y la evidencia hacen que la puntuación de madurez sea confiable.

Rutas de guía relacionadasEvaluación de preparación para la IA
Pregunta 1 de 8

Why can a single averaged readiness score be misleading?

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Las respuestas y explicaciones aparecen a medida que realiza el cuestionario.

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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