The application of Artificial Intelligence (AI) across a wide range of domains comes with both
high expectations of its benefits and dire predictions of misuse. While AI systems have …

Large language models (LLMs) have recently been applied in software engineering to
perform tasks such as translating code between programming languages, generating code …

Generative AI (GenAI) has shown remarkable capabilities in generating diverse and realistic
content across different formats like images, videos, and text. In Generative AI, human …

The process of quantifying and analyzing animal behavior involves translating the naturally
occurring descriptive language of their actions into machine-readable code. Yet, codifying …

This study considers the task of applying artificial intelligence to recognize bank fraud. In
recent years, due to the COVID-19 pandemic, bank fraud has become even more common …

Data scientists often have to use other presentation tools (eg, Microsoft PowerPoint) to
create slides to communicate their analysis obtained using computational notebooks. Much …

Data analysis is challenging as analysts must navigate nuanced decisions that may yield
divergent conclusions. AI assistants have the potential to support analysts in planning their …

Computational notebooks have become increasingly popular for exploratory data analysis
due to their ability to support data exploration and explanation within a single document …

Computational notebooks are widely used for data analysis. Their interleaved displays of
code and execution results (eg, visualizations) are welcomed since they enable iterative …

Existing research on human-AI collaborative decision-making focuses mainly on the
interaction between AI and individual decision-makers. There is a limited understanding of …