Frameworks for AI software development provide a structured environment and set of tools for programmers to build, deploy, and manage artificial intelligence applications. These frameworks streamline the development process by offering libraries, APIs, and pre-built components for tasks such as machine learning, natural language processing, and computer vision. Popular examples include TensorFlow, PyTorch, and scikit-learn.