"AI Day for Federal Statistics" Promises Innovation and Collaboration at the National Academies of Science

On May 2, 2024, the National Academies of Science in Washington, DC, hosted the much-anticipated "AI Day for Federal Statistics." Organized by CNSTAT at the National Academies of Science, FCSM, and NISS, this event brought together experts and practitioners in the field of artificial intelligence (AI) to explore its integration into federal statistical practices. The in-person session served as a culmination of collaborative efforts aimed at advancing AI integration in federal statistical practices. Attendees were treated to a diverse array of topics and expert speakers, promising a day filled with innovation and insight.

The NISS/FCSM webinar series, known for fostering innovation and excellence in the federal AI landscape, provided a solid foundation for the discussions and presentations at AI Day. One of the highlights of the event was the opportunity for participants to engage in discussions about the latest developments in AI technology and its applications in federal statistics. From machine learning algorithms to data analytics techniques, attendees gained valuable insights into how AI is reshaping the landscape of federal data collection and analysis.

Moreover, the collaborative nature of the event facilitated networking opportunities among professionals from various sectors, fostering new partnerships and collaborations that are vital for advancing AI integration in federal statistical practices.

Despite the challenges posed by the ongoing global pandemic, the organizers ensured that AI Day remained accessible to all interested parties. Participation was free, with registration being the only requirement.

In summary, "AI Day for Federal Statistics" was a resounding success, bringing together experts and practitioners to explore the vast potential of AI in enhancing federal statistical practices. As AI continues to evolve, events like these will play a crucial role in shaping the future of data collection and analysis in the federal sector.

Thursday, May 9, 2024 by Megan Glenn