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The long‐standing goal of creating a comprehensive, multi‐purpose knowledge resource, reminiscent of the 1984 Cyc project, still persists in AI. Despite the success of knowledge resources like WordNet, ConceptNet, Wolfram|Alpha and other commercial knowledge graphs, verifiable, general‐purpose, widely available sources of knowledge remain a critical deficiency in AI infrastructure. Large language models struggle due to knowledge gaps; robotic planning lacks necessary world knowledge; and the detection of factually false information relies heavily on human expertise. What kind of knowledge resource is most needed in AI today? How can modern technology shape its development and evaluation? A recent AAAI workshop gathered over 50 researchers to explore these questions. This paper synthesizes our findings and outlines a community‐driven vision for a new knowledge infrastructure. In addition to leveraging contemporary advances in knowledge representation and reasoning, one promising idea is to build an open engineering framework to exploit knowledge modules effectively within the context of practical applications. Such a framework should include sets of conventions and social structures that are adopted by contributors.
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1 Knowledge Systems Research LLC, Sunnyvale, USA
2 Directorate of Technology, Innovation and Partnership at the National Science Foundation, Alexandria, USA
3 School of Computer Science, University of Leeds, Leeds, UK
4 Department of Computer Science, Örebro of University, Örebro, Sweden
5 Amazon Web Services Automated Reasoning Checks Team, New York, USA
6 School of Computer Science, University of Leeds | Alan Turing Institute, UK
7 Department of Computer Science, University of California, Irvine, USA
8 Faculty of Engineering and Natural Sciences, Sabanci University, Istanbul, Turkey
9 Institute for the Advanced Enterprise AI, New York, USA
10 Department of Computer Science, Northwestern University, Evanston, USA
11 University of Dayton Research Institute, University of Dayton, Dayton, Ohio, USA
12 Department of Computer Science, Stanford University, Stanford, USA
13 Institute of Creative Technologies, University of Southern California, Los Angeles, California, USA
14 Defense Advanced Research Projects Agency, Arlington, USA
15 Department of Computer Science, University of Texas, Dallas, USA
16 Department of Computer Science, Rensselaer Polytechnic Institute (RPI), Troy, USA
17 Bakar Computational Health Sciences Institute, University of California, San Francisco, California, USA
18 Department of Chemical, Biochemical and Environmental Engineering, University of Maryland, Baltimore County, Baltimore, USA
19 Education Testing Service, Princeton, USA
20 Department of Computer Science, University of Nebraska, Omaha, USA
21 Department of Computer Science, University of Texas at Austin, Austin, USA
22 Cynch.AI, San Francisco, USA
23 Department of Computer Science, Kansas State University, Manhattan, Kansas, USA
24 SRI International, Washington, District of Columbia, USA
25 Carnegie Bosch Institute, Carnegie Mellon University, Bosch Research and Technology Center, Pittsburgh, Pennsylvania, USA
26 Third Ear, San Francisco, California, USA
27 Department of Computer Science, University of Pennsylvania, Oracle, Philadelphia, USA
28 Cycorp, Austin, Texas, USA
29 Department of Computer Science and Engineering, Wright State University, Dayton, Ohio, USA
30 Wikimedia Foundation, Stuttgart, Baden‐Wurttemberg, Germany
31 University of Pennsylvania, Philadelphia, USA
32 Department of Computer Science, University of Auckland, Auckland, New Zealand