Florida Technology Magazine 2024 Fall Edition

systems, including drones for infrastructure inspection and autonomous vehicles for public transportation pilots. Current use of AI in Government State governments have progressively embraced artificial intelligence (AI) to enhance public services, increase operational efficiency, and address a range of complex challenges. Below are several key applications of AI within state governments. 1. Public Safety and Law

1990s: Early Machine Learning and Data Mining • Machine Learning: With advancements in computing power, state governments began experimenting with early machine learning techniques for predictive analytics and pattern recognition. These were used in criminal justice for crime prediction and in social services for welfare eligibility assessments. • Data Mining: Governments used data mining to analyze large datasets for trends and insights, aiding in fraud detection, public health surveillance, and urban planning. 2000s: Advanced Analytics and Natural Language Processing • Advanced Analytics: The 2000s saw the rise of more sophisticated analytics, leveraging statistical models and algorithms to improve decision-making processes in public health, transportation, and emergency management. • Natural Language Processing (NLP): NLP applications were introduced for automating customer service through chatbots and for analyzing public sentiment in policy-making. 2010s: Cognitive Computing and Deep Learning • Cognitive Computing: Systems like IBM's Watson were deployed for more complex problem-solving tasks, such as healthcare diagnostics and legal research. • Deep Learning: Deep learning technologies enabled more accurate image and speech recognition, which state governments used for security surveillance, traffic management, and disaster response.

2020s: Generative AI and Autonomous Systems

• Generative AI: The latest advancement includes generative AI, which can create content such as text, images, and videos. This technology is being explored for automating content creation, improving educational tools, and

enhancing public communication.

• Autonomous Systems: State governments are also beginning to experiment with autonomous

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