AI Summary: Researchers at CU Boulder, led by Jack Manning and Jed Brubaker, are exploring the use of AI to create digital representations of deceased individuals for interactive conversations. Volunteers engage in Zoom sessions where they communicate with these AI-generated avatars, designed to mimic the personalities and characteristics of lost loved ones. This project aims to investigate the emotional and psychological impacts of interacting with AI representations of the deceased.
Editors’ Choice: Speculative Recommendation: Reframing AI for Interpretive Practice in the Digital Humanities
AI Summary: In their paper, River Rain and Houda Lamqaddam propose a novel approach to recommender systems, framing them as tools for humanistic inquiry instead of commercial personalization. They present a fine-tuned computer vision pipeline that analyzes visual similarities across 2,341 animated films, revealing patterns of artistic influence and aesthetic shifts. The authors advocate for embracing the stochastic nature of machine learning as a means of interpretive exploration, rather than merely correcting for errors. Their methodology integrates a VGG16 network with vector search to facilitate the exploration of large-scale digital heritage collections without relying on strict predictive models.