Tame vs Wicked problems

Many design problems have fairly straightforward ways of working out a solution, and they do not need a particularly ‘creative’ approach – these are often called tame problems. In contrast, wicked problems are complex sets of problems in which many different potential issues are interlinked. The distinction between tameness and wickedness is reflected in the difference between traditional AI, such as Google's search algorithm, and generative AI, such as ChatGPT. Thus reflecting tame versus wicked problems, the main difference between traditional AI and generative AI lies in their capabilities and application. That is, traditional AI systems are typically designed with a specific set of tasks in mind, primarily used to analyse data and make predictions based on predefined rules, while generative AI goes a step further by creating new data similar to its training data.  In other words, traditional AI excels at pattern recognition, while generative AI excels at pattern creation. Traditional AI can analyse data and tell you what it sees, but generative AI can use that same data to create something entirely new. But while traditional AI and generative AI have distinct functionalities, they are not mutually exclusive For instance, a traditional AI could analyse user behavior data, and a generative AI could use this analysis to create personalised content. Source:  https://www.forbes.com/sites/bernardmarr/2023/07/24/the-difference-between-generative-ai-and-traditional-ai-an-easy-explanation-for-anyone/