Reflexiones sobre la inteligencia artificial y la bibliotecología 2a parte

The characteristics of artificial intelligence and especially machine learning and deep learning are analyzed. From this, the opacity of these algorithms is evident, as well as the need for transparency, explainability and adequate data processing. An in-depth study of text generators, their errors and hallucinations is made, highlighting the problems in errors and in bibliographic references. The impacts and consequences of this situation on the credibility of science are analyzed, thus manifesting the need to arbitrate the reports generated by AI. Some initiatives stand out, such as the work with word embeddings by the Vía Libre Foundation and literacy in AI. Two philosophical reflections by Rafael Capurro and Byung Chul Han on the need for librarians to engage in digital sustainability