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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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Personalised welfare recommendations

Introduction

The current trend that has captured the attention of many is Artificial Intelligence (AI) and specifically the latest version of Artificial General Intelligence (AGI) also known as Generative AI or Gen AI. Public services are also not left behind by this revolution as they have embraced the use of Gen AI to provide individualised welfare suggestions. The next generation of AI, also known as Generative AI, seeks to mimic human intelligence and processing capabilities, which presents an opportunity to transform the delivery of public services through the provision of tailored welfare suggestions. Unlike other types of AI, GAI can perceive, process information and solve problems in various contexts, and therefore is very effective in diverse and integrated sectors like the public services. This article explores how Gen AI is being leveraged within the public services domain for the purpose of providing customized welfare suggestions, the issues that are encountered, the answers provided, and the ROI realised from this technology. Let’s look at some examples of how Gen AI has been put into practice as well.

Challenges

The public services industry is known to be a very complex sector when it comes to offering individualised welfare advice. The first of the major problems is the problem of dealing with large amounts of data and its diversity. This information is derived from several sources and may be organized as either numeric data in tables or as natural language text and pictures. Furthermore, this data is often confidential which leads to ethical and legal issues regarding privacy and data security. Another challenge is that the predictions and recommendations should be as precise as possible and made in a timely manner and such a way that they meet the needs of millions of people whose lives are affected by welfare services. Also, there are certain expectations of the decision-making process to be clear and comprehensible especially in areas of welfare and benefits. Finally, the public services industry is cash-strapped and may not always be willing to invest in new technologies such as Gen AI.

AI Solutions

Gen AI presents various possibilities to solve the mentioned problems. Due to the fact that Gen AI has a better data processing and analysis, it can give better and more specific welfare advice. It can deal with both kinds of information: organised and unorganised, and it is capable of learning from the new data and changing environments. There are sophisticated machine learning models that can identify and analyze the trends and similarities in the data set in order to make presumptions about the future and suggest solutions. Also, Gen AI can help to make the decisions more clear and understandable with the help of model interpretability and feature importance. In addition, Gen AI can perform the majority of the work associated with data collection and analysis, which is often done manually and is very time-consuming, which will reduce costs. Most importantly, Gen AI can do all this while complying with all the necessary protocols on privacy and data security.

Benefits

There are numerous advantages of applying Gen AI in the public services. First, it enhances the precision and relevance of the welfare suggestions made, thus enhancing the well-being of people. Second, it has the potential of reducing costs through automation and improving efficiency. Third, it can enhance the levels of transparency and trust of the decision making process. Fourth, it will also help the public services industry to cope with the growing data volumes and task complexity thus making it more sustainable.

Return on Investment

The paper argues that, investing in Gen AI can be very profitable for the public services industry. However, the cost of implementing Gen AI is rather expensive and this can be a deterrent to many organisations but the cost savings and efficiency gains that come with it can be seen to be worthwhile. Furthermore, the enhanced outcomes for people can have positive effects on society and the economy as well. For instance, improved and timely welfare suggestions can help in avoiding conditions like poverty and homelessness which are financially expensive for the society. According to McKinsey, AI technologies including Gen AI has the potential of adding $13 trillion to the global GDP by 2030 thus underlining the potential returns on investment of this technology.

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