By 2020, the cognitive technologies–machine learning, natural language processing, speech recognition, and robotics–start to augment the government workforce and improve the quality and efficiency of government systems. These technologies bring forth a range of applications in government including law enforcement, transportation, healthcare, and even fraud detection. More importantly humans remain “in the loop” not only to develop, customize, and train the systems; but also oversee, guide, and improve them.
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The State of Georgia Transparency and Campaign Finance Commission was tasked with digitizing about 40,000 pages of e-filings per month. The data received was in the form of adobe documents, handwritten notes, and even forms written in crayons. The commission used a solution that meshed human intelligence with an adaptive optical character recognition (OCR) system. The human workers taught the system to read the data and the software became progressively more accurate with time.