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public safety AI

How AI systems can improve citizen access to safety?

What you experience now with LLMs like ChatGPT is a result of AI trained on the available material on the internet. It’s not live data. In fact, GPT-4 generally lacks knowledge of events that have occurred after the vast majority of its data cuts off (Sep ’21). It’s designed to sound authoritative and since it doesn’t know everything, sometimes it makes things up – it hallucinates.

But when AI LLMs models are trained and contained within internal organisational data, they can reduce some of the world’s worst inequities. If you implement a system that deals with data silos, is format agnostic so it mines information across data landscape, such as Untrite Atlas™, it can work wonders.

Take for example access to safety;

  • Police Services:

AI can be used to analyse and interpret large volumes of unstructured data, crime reports, such as social media posts, news articles. This can help police services identify patterns and trends in criminal activity, monitor public sentiment and opinion, and improve their response times to incidents. The algorithms can be used to monitor social media activity for keywords and phrases that are associated with criminal activity or emergency situations, allowing police services to quickly respond to incidents and provide real-time updates to citizens.

  • Council Services:

AI can help local councils improve their constituent engagement and management services. For example, AI-powered self-served knowledge platform can be used to provide quick and efficient responses to citizen queries, complaints, and feedback. This can help reduce the burden on council staff and improve citizen satisfaction. Additionally, AI can be used to analyse citizen feedback and sentiment, providing valuable insights that can be used to improve council services and policies.

  • Constituent Management Systems:

AI can help government agencies and politicians manage their constituents more effectively. For example, AI algorithms can be used to analyse citizen feedback and sentiment, identify key issues and concerns, and help politicians craft effective policy responses. Additionally, AI can be used to automate and streamline constituent communication, allowing politicians and government agencies to respond to citizen inquiries and feedback more quickly and efficiently.

The best thing of it all is that such AI-powered systems are recursive, meaning that they keep getting more and more accurate, the more you interact with them.

If you’re working in public sector and looking to explore AI for your workflows, get in touch.

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