BibTeX

@article{2504.01827v1,
Author        = {Claire David},
Title         = {What is AI, what is it not, how we use it in physics and how it
  impacts... you},
Eprint        = {2504.01827v1},
ArchivePrefix = {arXiv},
PrimaryClass  = {physics.soc-ph},
Abstract      = {Artificial Intelligence (AI) and Machine Learning (ML) have been prevalent in
particle physics for over three decades, shaping many aspects of High Energy
Physics (HEP) analyses. As AI's influence grows, it is essential for physicists
$\unicode{x2013}$ as both researchers and informed citizens $\unicode{x2013}$
to critically examine its foundations, misconceptions, and impact. This paper
explores AI definitions, examines how ML differs from traditional programming,
and provides a brief review of AI/ML applications in HEP, highlighting
promising trends such as Simulation-Based Inference, uncertainty-aware machine
learning, and Fast ML for anomaly detection. Beyond physics, it also addresses
the broader societal harms of AI systems, underscoring the need for responsible
engagement. Finally, it stresses the importance of adapting research practices
to an evolving AI landscape, ensuring that physicists not only benefit from the
latest tools but also remain at the forefront of innovation.},
Year          = {2025},
Month         = {Apr},
Url           = {http://arxiv.org/abs/2504.01827v1},
File          = {2504.01827v1.pdf}
}