While several programming languages are commonly used for AI development, one language that is not typically associated with AI is COBOL (Common Business-Oriented Language). COBOL is a high-level programming language that was primarily developed in the late 1950s and early 1960s. It was designed for business data processing and is widely used in the financial, government, and administrative sectors for large-scale, mission-critical applications.

COBOL's design objectives were focused on readability, simplicity, and English-like syntax, making it easier for non-technical business users to understand and maintain the code. Due to its heritage and purpose, COBOL has historically been used for business-oriented applications and lacks the advanced features and libraries commonly associated with AI development.

The field of artificial intelligence primarily relies on languages that offer robust support for mathematical and statistical computations, as well as extensive libraries and frameworks specifically designed for AI tasks. Here are some of the commonly used programming languages for AI:

1. Python: Python has gained significant popularity in the AI community due to its simplicity, readability, and the availability of powerful libraries such as TensorFlow, PyTorch, and scikit-learn. Its vast ecosystem, rich with AI-related packages, makes it a go-to choice for AI development.
2. R: R is a programming language specifically designed for statistical computing and data analysis. It offers extensive libraries and packages for machine learning, data visualization, and statistical modeling, making it a preferred language for data scientists and researchers in the AI field.
3. Java: Java is a versatile language that finds application in various domains, including AI. It provides robust support for object-oriented programming and offers frameworks like Deeplearning4j and Weka for machine learning and data mining tasks.
4. C++: C++ is a powerful and efficient language known for its performance and low-level control. It is commonly used for developing AI applications that require high computational efficiency, such as computer vision and robotics.
5. Julia: Julia is a relatively new language specifically designed for scientific computing and numerical analysis. It provides a high-level syntax and performance comparable to low-level languages, making it suitable for AI tasks that require both flexibility and speed.

While COBOL is a valuable language for certain applications, its usage in the field of AI is limited due to its historical focus on business processing and the availability of more specialized languages and frameworks that cater specifically to AI requirements. As the field of AI continues to evolve, languages like Python, R, Java, C++, and Julia will likely remain the primary choices for AI development, thanks to their extensive libraries, community support, and dedicated focus on AI-related tasks.