Use of AI in Operations of Federal Agencies and Non-profits
Artificial Intelligence (AI) is imperative for modernizing the public sector. Developing the path to an AI-connected government agency may sound like challenging to some extent, but it is inevitable as AI becomes more powerful.
In fact, most of the nations like China and the U.S. are already are directing their federal agencies to view into launching and expanding AI initiatives to promote their missions. According to recent researches, advanced applications of AI could save millions of staff hours and can potentially free up the government workforce's time.
AI in action
Public safety has become one of the primary concerns for any government agency to ensure high levels of surveillance for people and their properties. Today's most of the investigation departments are facing struggles to apprehend suspects and also to resolve cases quickly. Typically, these processes will take a long time and can be very arduous while doing manually.
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The unanimous application of AI in facial identification has made this process easier and up to 90 percent faster by enabling law enforcement agencies to perform automated facial recognition against accused offenders database. However, this results in an immense use of resources while significantly reducing the time to resolve the crime issues. These kinds of savings have become even more pronounced when a federal agency consider AI in the eruption of audio and video surveillance footage.
In most of the federal agencies, manual redaction processes require extensive workforce and expertise to analyze each framework and also to make edits. However, with the introduction of AI technology, agencies can streamline and accelerate their redaction processes to meet legal requirements and also to reap benefits of time and cost savings.
It is inevitable that AI will continue to play a significant role in government. However, paving the path to an AI-connected government is not about allocating billions of dollars to overhaul the government operations. It's all about identifying the redundant processes that can be replaced with Artificial Intelligence.