The National Science Foundation (NSF) awarded a $300,000 two-year project grant under its Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) to Carnegie Mellon University (CMU) for the REDDDOT PHASE 1: PLANNING GRANT: RESPONSIBLE AI ACROSS THE TRANSPORTATION SECTOR. The project aims to develop a framework and tools for participatory labor impact assessment to analyze how the introduction of artificial intelligence (AI) technologies will affect workers across different transportation modes including taxi, transit, and logistics. CMU will convene industry stakeholders to assess AI awareness, needs, and specify participatory assessment tools. This will result in a comparative analysis of AI use and regulation in transportation, a participatory framework for evaluating AI systems, and a set of responsible AI design principles. CMU is collaborating with the University of California, San Diego (UCSD) on a $111,111 sub-award to conduct research across transportation modes and develop the participatory labor impact assessment framework.
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