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AI Readiness, AI Reproducibility, and Data Stewardship

Name: AI Readiness, AI Reproducibility, and Data Stewardship
Creator: Kirkpatrick, Christine
Keywords: AI readiness, AI reproducibility, FARR, data stewardship, FAIR

descriptionPublicationkeyboard_double_arrow_right Presentation , Other literature type 13 Feb 2025Publisher:Zenodo

Authors: Kirkpatrick, Christine;

doi: 10.5281/zenodo.14926743 , 10.5281/zenodo.14926744

AI Readiness, AI Reproducibility, and Data Stewardship

- Summary
- Subjects
- Metrics

Abstract

This session will discuss lessons learned and emerging community practices as they relate to AI Readiness and AI Reproducibility. Insights into ways to leverage Gen-AI and LLMs for data stewardship will be shared, as well as open research questions, and gaps in practices at the intersection of AI and data. Please bring your own practices and insights to the session so they can inform the NSF-funded FAIR in Machine Learning, AI Readiness, (AI) Reproducibility Research Coordination Network (FARR). This presentation was part of the UC Love Data Week 2025 program (https://uc-love-data-week.github.io).

Related Organizations

University of Illinois at Urbana Champaign
United States
National Center for Supercomputing Applications
United States
San Diego Supercomputer Center
United States

Keywords

AI readiness, AI reproducibility, FARR, data stewardship, FAIR

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