Foundation models have rapidly permeated society, catalyzing a wave of generative AI
applications spanning enterprise and consumer-facing contexts. While the societal impact of …

Advances in artificial intelligence have enabled unprecedented technical capabilities, yet
making these advances useful in the real world remains challenging. We engaged in a …

Recent advances in AI combine large language models (LLMs) with vision encoders that
bring forward unprecedented technical capabilities to leverage for a wide range of …

Generative AI applications present unique design challenges. As generative AI technologies
are increasingly being incorporated into mainstream applications, there is an urgent need …

This workshop applies human centered themes to a new and powerful technology,
generative artificial intelligence (AI), and-among other approaches-particularly to Large …

As Artificial Intelligence (AI) continues to advance rapidly, it becomes increasingly important
to consider AI's ethical and societal implications. In this paper, we present a bottom-up …

Recent advances in the field of deep learning and impressive performance of deep neural
networks (DNNs) for perception have resulted in an increased demand for their use in …

Students' increasing use of Artificial Intelligence (AI) presents new challenges for assessing
their mastery of knowledge and skills in project-based learning (PBL). This paper introduces …

The growing availability of generative AI technologies such as large language models
(LLMs) has significant implications for creative work. This paper explores twofold aspects of …

Computational notebooks, such as Jupyter Notebook, have become data scientists' de facto
programming environments. Many visualization researchers and practitioners have …