Long Paper: Feasible, Adaptable and Shared: A call for a community framework for implementing ML and AI

Abstract

Through open research, experimentation and convenings with LAM sector peers and colleagues, a foundational need has emerged for a broadly shared and evidenced set of guidelines for implementing ML and AI technologies that centers the long-term stewardship and ethical responsibilities of cultural heritage organizations. Inspired by community guidelines that rationalize complex information into an understandable framework like the NDSA Level of Digital Preservation and the Data Nutrition Project, LC Labs is proposing a step toward collaboratively generating a LAM-specific framework for understanding and implementing ML and AI technologies.

Details

Creators

Potter, Abigail

Institutions

Library of Congress

Date

Keywords

community guidelines

Publication Type

long paper

License

CC-BY 4.0 International

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