This work explores the influence of algorithms in our daily lives, highlighting their role in decision-making and information retrieval, as well as the existence of errors and biases in these intelligent technologies. It questions the ownership and control of truth in algorithmic systems, emphasizing the need for critical examination of generated information in terms of transparency, accountability, and ownership in the development and deployment of algorithms.
Biases and machine translation / Helena Hernandez Acuaviva (ES), Agda Carvalho (BR)
Helena Hernandez Acuaviva (ES)
PhD student in art and heritage and member of the Graphics and Digital Creation Research Group (University of Seville). She had two fellowships in Brazil.
Agda Carvalho (BR)
Visual Artist with a PhD in communication – USP, master of arts – UNESP. Researcher and leader of the LabDesign Research Group at Instituto Mauá de Tecnología – Brazil.