LATIDIA · Investigación

¿De quién es la verdad? Abrazando la ambigüedad en la IA centrada en el ser humano

arXiv: 2610.10805v1 Tipo de anuncio: nuevo Resumen: A medida que los sistemas de IA interactúan cada vez más con las personas y toman decisiones sobre ellas, comprender las interpretaciones humanas se convierte en una parte importante del desarrollo de la IA centrada en el ser humano

La noticia

arXiv:2610.10805v1 Announce Type: new Abstract: As AI systems increasingly interact with people and make decisions about them, understanding human interpretations becomes an important part of developing human-centered AI. Conventional machine learning and AI systems are largely developed under the assumption that a single definitive ground truth exists, with variability in human annotations often resolved through aggregation or treated as noise. However, for many human-centered tasks, human interpretation is inherently ambiguous, and multiple interpretations of the same input may be simultaneously reasonable and valid. Reducing such ambiguity to a single target risks overlooking meaningful information about the diversity of human perception, judgment, and experience. In this position paper, we call for