I read 700+ and have 7 takeaways:
Under Executive Order 13960, the US Government has disclosed 710 AI use cases across federal agencies, offering a profound look into their strategic approach to AI integration. Through this comprehensive analysis, seven key insights have emerged, highlighting the diverse applications and challenges faced by federal agencies.
1. Divergent AI Adoption Rates: 21 agencies identified a use case, with the median number of use cases standing at 14. Leading the list was DOE at 178 & HHS at 157.
However, some agencies, like the NRC took a different approach
“The NRC has assessed the requirements of Section 5(e) of Executive Order (EO) 13960 and has concluded that the agency is not involved in managing, operating, nor overseeing Artificial Intelligence (AI) solutions/systems as the term AI is defined in Section 5002 of FY21 NDAA. As such, and consistent with EO 13960, the NRC has no AI use cases at this time.”
2. Security at the Forefront: Security emerged as a paramount concern, with both cyber and physical security in focus. Use cases included intrusion detection, malware prevention, PII detection, and video surveillance applications incorporating facial recognition.
3. Modernizing Documents and Data Extraction: The need for modernizing document management and data extraction was a common theme. Agencies recognized tools like document classification, automated metadata tags, and data validation to handle vast volumes of information effectively.
4. Understanding Our Environment: Agencies like USDA, NASA, and the DOI lead in using AI for agricultural and environmental monitoring. Use cases ranged from crop monitoring to wildfire detection, showcasing AI’s potential in managing environmental challenges.
5. Broad Healthcare Benefits: Health and Human Services spearheaded healthcare and medical research use cases. From veteran suicide ideation detection to forecasting drug quantities for tuberculosis, agencies leveraged AI to classify diseases based on gut microbiome patterns and improve treatment for various health conditions.
6. Efficiency in Government Operations: The DOL emphasized the need for efficiency in government operations. Use cases spanned from expenditure auto-coding to call recording analysis, highlighting AI’s potential in streamlining bureaucratic processes.
7. Differing Visions of the Future: A lack of consensus on the vision for AI’s future was evident. While some agencies focus on practical applications to improve agency functions, others are primarily dedicated to solving scientific problems.
As the US Government advances in AI integration, the journey towards a more technologically advanced and efficient government has only just begun.
Do you see anything missing? What are your takeaways?
#AIinGovernment #TechInnovation #GovernmentOperations
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