Artificial Intelligence
The Role of Academic Impact Labs for Public Innovation: Stories of AI Innovation from Stanford's RegLab
Led by: Daniel Ho
This workshop will cover the promise and practicalities of government-academic partnerships to build bridges between universities and government agencies. Universities are repositories of digital talent, where, for instance, much AI research is developed and the next generation of AI talent is trained. Stanford's RegLab has partnered with federal, state, and local agencies to build bridges around AI and carry out demonstration projects. These projects have included work on detecting tax evasion (which documented racial disparities in existing tax audits) with IRS, AI assistance for unemployment insurance with and US DOL and Colorado, and a language model to sift redact and map racial covenants in millions of deed records with Santa Clara County. This talk will provide examples and discuss learnings on how to enable such work at the local and state level.
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Understand the Role of Academic Impact Labs: Gain insights into how academic institutions like Stanford’s RegLab contribute to public innovation by fostering partnerships with government agencies to address societal challenges.
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Explore AI Applications in Public Services: Learn about real-world demonstration projects involving AI, such as detecting tax evasion, enhancing unemployment insurance systems, and analyzing historical deed records for racial covenants.
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Identify Best Practices for Government-Academic Collaboration: Discuss strategies and lessons learned to successfully implement government-academic partnerships for local and state-level innovation projects.
Format: online
Date & Time: January 30, 2025, 2:00 PM ET
Duration: 60-minutes
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