Successful Approaches to Integrating Artificial Intelligence (AI) Into Knowledge Management
As state Departments of Transportation (DOTs) and other transportation agencies expand their knowledge management (KM) programs, interest in incorporating artificial intelligence (AI) is increasing. Agencies are exploring how AI-enabled tools can support knowledge capture, organization, retrieval, and application. This scan will examine current practices used by state DOTs and other organizations to implement AI in knowledge management. It will identify opportunities as well as common challenges, including data quality, security, governance, and ethical considerations. Careful and responsible integration of AI is essential to ensure effective and sustainable use within KM programs.
- Record URL:
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Supplemental Notes:
- Contract to a Performing Organization has not yet been awarded.
Language
- English
Project
- Status: Proposed
- Funding: $250,000.00
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Contract Numbers:
Project 20-68, Scan 26-04
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Sponsor Organizations:
National Cooperative Highway Research Program
Transportation Research Board
500 Fifth Street, NW
Washington, DC United States 20001American Association of State Highway and Transportation Officials (AASHTO)
444 North Capitol Street, NW
Washington, DC United States 20001Federal Highway Administration
1200 New Jersey Avenue, SE
Washington, DC United States 20590 -
Project Managers:
Irvin, Deborah
- Start Date: 20260316
- Expected Completion Date: 0
- Actual Completion Date: 0
Subject/Index Terms
- TRT Terms: Artificial intelligence; Data quality; Knowledge management; State departments of transportation
- Subject Areas: Data and Information Technology; Planning and Forecasting; Transportation (General);
Filing Info
- Accession Number: 01982452
- Record Type: Research project
- Source Agency: Transportation Research Board
- Contract Numbers: Project 20-68, Scan 26-04
- Files: TRB, RIP
- Created Date: Mar 17 2026 3:12PM