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.
Pregunta 1 de 8
¿Qué describió el experimento de campo de 2023 de la Harvard Business School y BCG?
Vista previa de cada pregunta8 preguntas
Las respuestas y explicaciones aparecen a medida que realiza el cuestionario.
- ¿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
- ¿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
- ¿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
- ¿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
- 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
- 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
- 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
- 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