Poate AI prezice orientarea sexuală a unei persoane pe baza analizei textelor scrise ?

Capacitatea AI de a deduce trăsături personale sensibile din date nestructurate a ridicat îngrijorări semnificative cu privire la confidențialitate. Modelele recente pretind că pot prezice cu exactitate orientarea sexuală pe baza modelelor lingvistice, ceea ce ar putea fi folosit în mod discriminatoriu. Această capacitate pune sub semnul întrebării noțiunile de autonomie și consimțământ în spațiile digitale. Protecțiile juridice pentru astfel de inferențe sunt practic inexistente.

Background

Recent AI systems have attempted to infer sexual orientation from written text using linguistic analysis. Studies leveraging large language models and stylometric features—such as word choice, syntax, and semantic structures—have reported correlations between these linguistic patterns and self-identified sexual orientation, particularly in contexts where personal relationships are discussed. However, the reliability of such predictions is constrained by small sample sizes, cultural and linguistic biases within training datasets, and the risk of reinforcing stereotypes. Ethical debates focus on privacy, consent, and the potential for misuse in discriminatory applications, as legal protections for inferences drawn from unstructured data remain largely undeveloped or untested. Research in this area intersects with prior work examining the detection of sexual orientation from other data modalities, such as facial images, which has also generated significant ethical and methodological scrutiny.