Connectionists: XAI4Science workshop announcement

[Zwolak, Justyna P. (Fed)]

Dear Colleagues,

We would like to bring to your attention that we are organizing the XAI4Sci: Explainable machine learning for sciences<https://xai4sci.github.io/> workshop at the upcoming  38th AAAI Conference on Artificial Intelligence<https://aaai.org/aaai-conference/> (AAAI-24) meeting (to be held in person in Vancouver, Canada). The event will take place on February 26, 2024.

The XAI4Sci workshop aims to bring together a diverse community of researchers and practitioners working at the interface of science and machine learning to discuss the unique and pressing needs for explainable machine learning models in support of science and scientific discovery. These needs include the ability to (1) leverage machine learning as a tool to make measurements and perform other activities in a manner comprehensible to and verifiable by the working scientists, and (2) enable scientists to utilize the explanations of the machine learning models in order to generate new hypotheses and to further knowledge of the underlying science.

For more information about the workshop as well as the workshop proceedings please refer to the workshop website<https://xai4sci.github.io/>. Please, feel free to share this announcement with students, postdocs, and with colleagues who might be interested in the event. We attach to this email the “Call for participation” describing the event in more detail as well as “Call for papers.”

Please, let us know if you have any questions.

Sincerely,
Justyna Zwolak (NIST), Craig Greenberg (NIST), and Rich Caruana (Microsoft)

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