AI in the public sector
Generative AI has the ability to revolutionize the missions of public sector organizations and transform many aspects of our everyday work and life.
Generative AI holds a lot of potential for helping public sector organizations accomplish their missions. But it’s important to understand what generative AI can and can’t do so you can identify appropriate areas and ways where the technology can have the highest impact. The four main capabilities of generative AI are:
- Content creation: Creating a human-like output, including textual, visual, or multimedia content based on input data or natural language prompts
- Summarization: Extracting key themes and insights from a longer piece of text, including answering natural language queries
- Code production: Generating code based on a prompt, translating code from one programming language to another, or reviewing and improving existing code
- Semantic search: Going beyond traditional keyword matching by understanding the meaning behind a query and retrieving relevant search results that are semantically related to the user's intent
In public sector organizations, there are three key areas where generative AI can drive transformation:
- Enhanced productivity
- Augmented cognition
- Accelerated discovery
Enhanced productivity
Enhanced productivity through Al can enrich employee experiences by helping to unlock the best out of workforce talent. From content summarization to automating routine tasks, Al can positively affect productivity by reducing tedious tasks.
Augmented cognition
Another way Al use can help an organization is through augmented cognition. Augmented cognition provides teams with a digital sidekick that helps them think better and handle complex tasks with technology's help. Data collection and extraction, intel analysis and interpretation, and anomaly detection are some of the ways Al can help increase a team's productivity.
Accelerated discovery
Lastly, Al can empower every organization to bend the curve on innovation by modernizing internal processes, accelerating the discovery process, and understanding and simulating complex situations and processes.
This module explores each of these areas by sharing the following use cases and highlighting technologies and tools to support this revolution.
- Simplifying case management
- Simplifying rulemaking
- Empowering constituents
- Migrating legacy apps
- Assisting fraud investigations
- Employing multimodal image analysis
- Creating knowledge hubs
- Improving security posture