¿Puede la IA determinar el carácter de una persona teniendo una conversación por voz con ella ?

Los sistemas de IA pueden analizar ahora el habla en tiempo real para inferir ciertos rasgos de personalidad (por ejemplo, extroversión o neuroticismo) con una precisión moderada al extraer características acústicas y lingüísticas como la variabilidad del tono, la velocidad de habla y la elección de palabras. Estos modelos se entrenan con conjuntos de datos etiquetados donde anotadores humanos han calificado los rasgos de los participantes, y logran correlaciones alrededor de 0.3–0.5 con puntuaciones de referencia en inventarios estándar de personalidad. Sin embargo, no “determinan” el carácter central de una persona en un sentido profundo o predictivo y pueden reproducir sesgos demográficos presentes en sus datos de entrenamiento. También surgen preocupaciones éticas cuando tales inferencias se utilizan sin consentimiento o se aplican en contextos sensibles como la contratación.

— Enriched May 13, 2026 · Source: Mairesse, F., Walker, M., & Mehl, M. (2007). "Using linguistic cues for the automatic recognition of personality in conversation and written text."

Background

AI systems can analyze speech in real time to infer certain personality traits (e.g., extroversion or neuroticism) with modest accuracy by extracting acoustic and linguistic features such as pitch variability, speaking rate, and word choice. These models are trained on labeled datasets where human annotators have rated participants’ traits, and they achieve correlations around 0.3–0.5 with ground-truth scores on standard personality inventories (Mairesse, F., Walker, M., & Mehl, M., 2007, "Using linguistic cues for the automatic recognition of personality in conversation and written text.").

Determining a person's character through a voice chat is a complex task that has garnered significant attention in the field of affective computing and social signal processing. Current research suggests that AI systems can analyze various aspects of speech, such as tone, pitch, and speaking style, to infer certain personality traits. For instance, studies have shown that individuals with certain personality types, like extraversion or neuroticism, tend to exhibit distinct acoustic features in their speech. However, accurately determining a person's character requires a multifaceted approach that considers various factors, including linguistic and paralinguistic cues, as well as contextual information. AI systems have made notable progress in this area but still face significant challenges, such as handling noise, accents, linguistic variations, and the non-linear relationship between speech patterns and personality. Individual differences can lead to inconsistent results (IEEE, administered May 13, 2026).

Beyond accuracy limits, voices used without consent risk reinforcing demographic biases embedded in training data, raising ethical concerns about their application in sensitive domains like hiring.