Which of the following technologies incorporates elements from statistics and psychology along with computer science?

The correct answer is machine learning, which indeed incorporates elements from statistics and psychology alongside computer science. This is because machine learning relies heavily on statistical methods to create models that can learn from and make predictions based on data. The statistical aspect allows for the modeling of relationships within data, which is fundamental for developing algorithms that can generalize from examples.

Additionally, psychology plays a role in machine learning through the understanding of human behavior, particularly in areas such as natural language processing and user experience. By integrating concepts from psychology, machine learning systems can be designed with a better understanding of human interaction, leading to more intuitive and effective AI applications.

In contrast, while the other technologies listed may share some foundational concepts with machine learning, they do not incorporate the same breadth of elements from both statistics and psychology in the way that machine learning does. For instance, generative AI focuses more on creating new data based on the training data it receives rather than on the statistical modeling aspect. Deep learning, a subset of machine learning, uses neural networks but does not explicitly emphasize the psychological principles involved in user interaction. An overview of AI may touch on various areas and technologies but won't provide the specific combination of statistics and psychology that characterizes machine learning.