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AI Use Cases
A collection of over 250 uses for artificial intelligence
A continually updated list exploring how different types of AI are used across various industries and AI disciplines,including generative AI use cases, banking AI use cases, AI use cases in healthcare, AI use cases in government, AI use cases in insurance, and more
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Employment aids
Introduction
The public services industry is at a critical juncture, facing rising demands for efficiency and effectiveness amid budget constraints and increasing citizen expectations. Traditional approaches often rely on static systems and manual processes, which are insufficient to meet modern needs. Challenges such as delivering transparent and accountable services while managing complex cases with limited resources underscore the urgent need for innovation. Artificial Intelligence (AI), particularly Generative AI (Gen AI) and RAG (retrieval-augmented generation), offers promising solutions by automating repetitive tasks, analyzing large datasets, and supporting data-driven decision-making. These technologies can enhance efficiency, improve service delivery, and address social inequalities. RAG and Gen AI are already transforming public services by providing predictive insights and enabling better resource allocation. For instance, AI-powered systems have been used to analyze unemployment trends, optimize healthcare resource allocation, and improve transportation systems. By integrating AI, public sector organizations can streamline operations, personalize citizen interactions, and reduce costs while maintaining accountability. As adoption evolves, prioritizing ethics, transparency, and accountability will be crucial to ensuring AI solutions address societal challenges and strengthen public trust. The potential for innovation in this space is vast, offering an exciting future for public service delivery.
Challenges
There are several challenges that public services sector is likely to encounter which may pose a challenge to the effective delivery of services to citizens. Some of these are; budgetary constraints, shortage of personnel, enhanced customer expectations especially on the aspect of personal service, and the pressure to make data-based decisions. Public services are also responsible for managing large datasets which can be a tedious and inaccurate process. Furthermore, the sector has to update itself with the latest technologies and changes in the market trends including the changing face of delivering services through digital platforms.
AI Solutions
RAG, With Gen AI there are several solutions as to how it can help in addressing such challenges. First, it can take on menial tasks like data entry and processing thus allowing human personnel to work on more important tasks. Second, it is capable of processing large amounts of data at fast rates and with high levels of precision which can help in making proper decisions. Third, it is possible for AI to offer personalized services because after interacting with each citizen, it gets a clue of how to respond to the citizen. Fourth, it can assist the public services to catch up with the new trends through giving information about the citizen’s behavior and his or her preferences. For example, by using AI, one can assess people’s opinion on different topics or services through analyzing their social media activities.
Benefits
There are several advantages that can be derived from the application of RAG, Gen AI in the public services. These are efficiency, where AI can work faster and with more precision than a human being. There is also cost efficiency since AI can handle mundane tasks thus reducing the number of people that would be needed in the system. Also, AI can enhance the quality of services through providing individual-centered and data-based solutions. It can also enhance decision making through generating information from large data sets. Finally, AI can help in the adaptation to new trends through giving insights into the citizens’ behavior and their preferences.
Return on Investment
In this case, the ROI of AI in public services can be very high. Although, there are many challenges that one has to face during the integration of AI such as the initial investment can be quite significant but the benefits such as cost efficiency, enhanced productivity, and enhanced service delivery make the investment worthy in the long run. Based on a report by Accenture, AI has the potential of increasing labour productivity by up to 40% in the public sector by 2035. Furthermore, AI can create new sources of income through creating new services or enhancing the existing ones.