AI for Civilian Services

AI is all around us—streamlining processes, turning data into insights, and improving mission focus across the federal civilian enterprise. Here are a few examples.

• Healthcare
  Healthcare applications of AI continue to expand. While navigating medical jargon to find helpful information can be overwhelming, cognitive solutions that leverage AI and natural language processing can streamline access to information. In addition, deep learning and neural networks can help reduce the cost of hospital readmission through the identification of patients at risk for complications and predicting adverse events. AI can also help public health experts model the spread of the opioid epidemic, foodborne illness outbreaks, and infectious disease pandemics; identify at-risk populations; and mitigate risks to public health and national security. 
  
  
• Homeland Security and Law Enforcement
  Terrorist attacks, natural disasters, and infrastructure failures have the potential to affect the lives of every citizen. With AI and machine learning tools, including crime analytics, homeland security and law enforcement operators can stay ahead of adversaries and disruptions. Computer vision models detect hard-to-find anomalies via people and package scanning while text mining and natural language processing algorithms help investigators break up human smuggling and drug trafficking rings.
  
  
• Transportation
  To meet transportation challenges, agencies can harness AI tools to better analyze data, improve operational efficiency, enhance safety, and uncover potential unknowns. From predicting maintenance for complex, aging infrastructure to improving fuel efficiency and preventing vehicle loss-of-control events, AI can help provide predictability and efficiency benefits throughout the systems agencies use to move people and goods.