If your product has a UX element that aligns user interactions with the goal of your AI models, then you have a beautifully machine-learning-based product.
Think of Midjourney. You write a prompt, get 4 generated images. Midjourney's goal is to generate the best possible images given a prompt. The user's desire is to get the best possible image from a prompt. There is 100% alignment between the product's and the user's goals. And you don't need to give advanced instructions to Midjourney users on selecting the best picture. Their human intuition guides them effortlessly. The result is invaluable data for Midjourney to train their models.
Think of Netflix. Occasionally, while you're watching Netflix, you will be asked, 'Are you still watching X?' Netflix understands how crucial this subtle piece of information is for their recommender systems and the user experience of the product. The recommender system needs to know if you are actually watching to determine what to recommend next. And if you fell asleep, it's convenient that Netflix can predict this and automatically stop the series for you, so you don't have to search for where you stopped watching. When you are prompted with 'Are you still watching X?', you as a user have a 100% interest and need to give Netflix almost the perfect information they need to evaluate their system.
More examples of products that do this are Google Search and every social media feed. Huge companies are built by integrating UX and AI to craft superior products. Yet, not many consider AI and UX in this integrated manner. It should be a consideration in every UX decision made.