Preparing a Knowledge Infrastructure for the AI Scientist

Fu, Yuanxi; Schneider, Jodi

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https://hdl.handle.net/2142/123190 Copy

Description

Title

Preparing a Knowledge Infrastructure for the AI Scientist

Author(s)

• Fu, Yuanxi
• Schneider, Jodi

Contributor(s)

• Clarke, Caitlin
• Van Moer, Mark
• Lischwe Mueller, Natalie
• Joshi, Manasi Ballal
• Hsiao, Tzu-Kun
• Zheng, Heng

Issue Date

2024-04-15

Keyword(s)

• knowledge infrastructure
• AI scientist
• information quality
• inclusion network
• Keystone Framework
• validity
• argumentation

Abstract

An AI scientist, a general artificial intelligence capable of automated scientific discovery, must be equipped with up-to-date and valid scientific knowledge. Yet, we are still far away from a dynamic, quality-aware knowledge infrastructure. We demonstrate two research projects that lay the conceptual foundations for key functional components of such a knowledge infrastructure: (1) determining the impact of citing unreliable resources and (2) tracking changes in scientific consensus.

Type of Resource

• text
• still image

Language

eng

Sponsor(s)/Grant Number(s)

• NSF CAREER 2046454
• Campus Research Board of the University of Illinois at Urbana-Champaign RB21012
• Alfred P. Sloan Foundation G-2020-12623
• NIH R01LM010817

Owning Collections