Cuestionario vinculado a una guía · duro Nivel

Cuestionario de IA para consultores

Prueba el hallazgo de fronteras irregulares, cómo puede fallar la síntesis aumentada por recuperación y las reglas de confidencialidad para colocar los datos de los clientes en herramientas de inteligencia artificial.

Rutas de guía relacionadasIA para consultores
Pregunta 1 de 8

¿Qué describió el experimento de campo de 2023 de la Harvard Business School y BCG?

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

  1. ¿Qué describió el experimento de campo de 2023 de la Harvard Business School y BCG?
    • AI made consultants worse at every task
    • A jagged frontier where AI helped on tasks within its capability but hurt on a task outside it
    • AI had no measurable effect on consultant work
    • Only senior consultants benefited from AI
  2. ¿Por qué la guía advierte que la síntesis de la investigación en IA no es neutral?
    • Models tend to repeat the most common view and may drop outliers that could be the key insight
    • Models always favor the client's opinion
    • Models only summarize the first document
    • Models refuse to summarize interviews
  3. ¿Cuál es la forma más segura de utilizar la IA para análisis cuantitativos, según la guía?
    • Accept numbers stated in the chat reply
    • Ask the model to estimate from memory
    • Have the AI write code or formulas you can inspect and rerun
    • Average answers from multiple chatbots
  4. ¿Qué práctica se ajusta a los consejos de confidencialidad de la guía?
    • Paste client data into any free chatbot if names are included
    • Ignore client rules if the firm approves the tool
    • Assume all AI tools delete data immediately
    • Use firm-approved tools whose terms exclude training on customer data and follow client rules
  5. En la generación de recuperación aumentada, ¿qué sucede antes de que el modelo responda?
    • The model retrains on all firm documents
    • Relevant document chunks are found by similarity search and placed in the model's context
    • A human manually types the answer
    • The model searches only its training data
  6. What long-context weakness does the technical section mention?
    • Models cannot read PDFs
    • Models always ignore the first sentence
    • Models can pay less attention to material in the middle of long inputs
    • Long inputs make models refuse to answer
  7. What apprenticeship concern does the guide raise for junior consultants?
    • If first-draft groundwork shrinks, juniors may have fewer ways to build judgment
    • Juniors will be required to code in assembly
    • Juniors will no longer meet clients
    • Juniors will only format slides
  8. What slide convention does the guide say AI can help with in storylines?
    • Using as many bullet points as possible
    • Placing conclusions only in footnotes
    • Removing all headlines
    • Action titles, where each slide headline states the conclusion