Artificial intelligence (AI) is a salient but polarizing issue of recent times. Actors around the
world are engaged in building a governance regime around it. What exactly the “it” is that is …

Large language models (LLMs) have been shown to be able to perform new tasks based on
a few demonstrations or natural language instructions. While these capabilities have led to …

Large language models (LLMs) represent a major advance in artificial intelligence (AI)
research. However, the widespread use of LLMs is also coupled with significant ethical and …

As language models grow ever larger, the need for large-scale high-quality text datasets has
never been more pressing, especially in multilingual settings. The BigScience workshop, a 1 …

This paper presents the overview of the AuTexTification shared task as part of the IberLEF
2023 Workshop in Iberian Languages Evaluation Forum, within the framework of the SEPLN …

The race to train language models on vast, diverse, and inconsistently documented datasets
has raised pressing concerns about the legal and ethical risks for practitioners. To remedy …

Camera-based physiological measurement is a fast growing field of computer vision.
Remote photoplethysmography (rPPG) utilizes imaging devices (eg, cameras) to measure …

Many recent technological advances (eg ChatGPT and search engines) are possible only
because of massive amounts of user-generated data produced through user interactions …

Social media enables medical professionals and authorities to share, disseminate, monitor,
and manage health-related information digitally through online communities such as Twitter …

Generative AI based art has proliferated in the past year, with increasingly impressive use
cases from generating fake human faces to the creation of systems that can generate …