Cuestionario vinculado a una guía · Medio Nivel
Abogados sancionados por un cuestionario sobre citaciones de casos elaborado por IA
Prueba los hechos de Mata v. Avianca, por qué los modelos lingüísticos inventan citas y qué hábitos de verificación detectan autoridad falsa antes de presentar la solicitud.
Pregunta 1 de 8
En Mata v. Avianca, ¿qué pasó cuando el abogado investigador preguntó a ChatGPT si los casos citados eran reales?
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Las respuestas y explicaciones aparecen a medida que realiza el cuestionario.
- En Mata v. Avianca, ¿qué pasó cuando el abogado investigador preguntó a ChatGPT si los casos citados eran reales?
- ChatGPT said the cases were real
- ChatGPT refused to answer
- ChatGPT flagged the cases as fabricated
- ChatGPT directed him to Westlaw
- ¿Qué sanción impuso el juez Castel en Mata vs. Avianca del 22 de junio de 2023?
- Disbarment of both attorneys
- A $50,000 fine against the client
- Dismissal of the lawyers from the bar association
- A $5,000 penalty on the two lawyers and their firm, plus letters to the client and falsely named judges
- Según la guía, ¿qué identificó el juzgado de Mata como el verdadero fracaso de los abogados?
- Using any AI tool for legal research
- Abandoning their responsibilities and standing by the fake cases after being questioned
- Filing the case in the wrong district
- Missing a filing deadline
- What lesson does the guide draw from Wadsworth v. Walmart?
- Only self-represented litigants file fake citations
- Judges no longer sanction AI errors
- Citations from a firm's internal AI tool can also be fabricated
- Google Bard is more reliable than ChatGPT
- Why can a language model produce a fake citation that looks convincing?
- Legal citations follow a highly regular format the model can imitate
- Models copy citations directly from court dockets
- Courts publish fake citations for training
- Citations are too short for models to get wrong
- Why does asking the same model to confirm its own citation fail as a check?
- The model deletes its earlier answer
- Models cannot read their own output
- Confirmation questions cost extra tokens
- It runs the same generation process that produced the error
- Which step counts as real verification of an AI-supplied case citation?
- Asking a second chatbot whether the case exists
- Checking that the citation format looks correct
- Pulling the opinion from an authoritative source, reading the passage and running a citator
- Confirming the case name appears in the AI's summary twice
- In Park v. Kim (2024), what did the Second Circuit do about a brief citing a nonexistent decision?
- Awarded the opposing party attorney fees of $1 million
- Referred the attorney to its grievance panel
- Ordered the case retried before a new judge
- Banned AI use by all lawyers in the circuit