LATIDIA · Ciberseguridad

Es mi agente, no yo: límites de privacidad personal en el intercambio de información delegada por IA

arXiv:2509.21712v2 Anuncio Tipo: reemplazar Resumen: Alinear los sistemas de IA con las preferencias de privacidad humanas requiere comprender los comportamientos de divulgación matizados de los individuos más allá de las normas generales de privacidad. Sin embargo, obtener estos comportamientos...

La noticia

arXiv:2509.21712v2 Announce Type: replace Abstract: Aligning AI systems with human privacy preferences requires understanding individuals' nuanced disclosure behaviors beyond general privacy norms. Yet eliciting these boundaries remains challenging because they involve context-dependent trade-offs. We present an elicitation approach that probes individuals' privacy boundaries through a discriminative task. Through a between-subjects study with varying communication roles and delegation conditions, we collected 1,650 privacy boundaries from 169 participants across 60 scenarios. We examined how communication roles, AI delegation, and individual differences influence boundaries. Results show that communication roles significantly influence sensitivity to disclosure granularity or identifiability, depending on whose private information is shared; AI delegation and individuals' need for privacy heighten sensitivity