Artificial Intelligence (AI) programming involves the use of various programming languages, depending on the specific application and task at hand. Here are some programming languages that are commonly used in AI development:

• Python :Python is one of the most widely used programming languages for AI development. It offers a rich collection of libraries and tools for data analysis, machine learning, and natural language processing, making it a popular choice among AI developers.

• R : R is another programming language that is commonly used in AI development, especially for statistical computing and data visualization. It has a wide range of libraries and tools for data analysis and machine learning.

• Java : Java is a widely-used programming language for developing large-scale AI applications. It is known for its speed, reliability, and scalability, making it an ideal choice for complex AI projects.

• C++ : C++ is a powerful programming language that is often used in the development of AI applications that require high performance, such as computer vision and natural language processing.

• Julia : Julia is a relatively new programming language that is gaining popularity in the AI community. It is designed to be fast and efficient, making it ideal for developing high-performance AI applications.

• JavaScript : JavaScript is a popular web development language, but it can also be used for AI applications, especially for developing chatbots and natural language processing.

• Scala : Scala is a high-level programming language that combines object-oriented and functional programming. It is commonly used for developing AI applications that require large-scale data processing and distributed computing.

• Go : Go is a relatively new programming language that is gaining popularity in the AI community. It is designed to be fast and efficient, making it ideal for developing high-performance AI applications.

• Swift : Swift is a programming language developed by Apple for developing applications for iOS, macOS, and other Apple platforms. It is gaining popularity in the AI community, especially for developing applications that use Apple's Core ML framework for machine learning.

• SQL : SQL is a language used for managing and manipulating relational databases. It is often used in AI applications that require working with large amounts of structured data.

• Clojure : Clojure is a functional programming language that is often used for developing AI applications that require parallel processing and concurrency.

• Lua : Lua is a lightweight scripting language that is commonly used in game development, but it is also used in AI development for its simplicity and speed.

• PHP : PHP is a popular web development language, but it can also be used for AI applications, especially for developing chatbots and virtual assistants.

• Rust : Rust is a relatively new programming language that is gaining popularity in the AI community. It is designed to be fast, safe, and concurrent, making it ideal for developing AI applications.

• C# : C# is a programming language developed by Microsoft for developing Windows applications, but it can also be used for AI applications, especially for developing applications that use Microsoft's Cognitive Services APIs.

• Perl : Perl is a popular scripting language that is often used in text processing and data analysis, making it a good choice for AI applications that require natural language processing.

• Groovy : Groovy is a dynamic programming language that is often used in the development of AI applications that require working with large datasets and complex algorithms.

• Julia : Julia is a high-performance, dynamic programming language designed for scientific computing, machine learning, and data analysis.

• Kotlin : Kotlin is a programming language developed by JetBrains for the Java Virtual Machine (JVM) and Android. It is designed to be more concise and expressive than Java, making it easier to write and maintain code. Kotlin is often used in AI development for its interoperability with Java and its ease of use.

• F# : F# is a functional programming language developed by Microsoft. It is often used in AI development for its support for functional programming and its ability to handle large datasets.

• Prolog : Prolog is a logic programming language that is often used in AI development for applications that require symbolic reasoning and rule-based decision-making.

• Smalltalk : Smalltalk is an object-oriented programming language that is often used in AI development for its simplicity and ease of use.

• Scheme : Scheme is a functional programming language that is often used in AI development for its support for advanced algorithms and its ability to handle large datasets.

• Erlang : Erlang is a programming language designed for developing distributed systems and concurrent applications. It is often used in AI development for its ability to handle large datasets and complex computations.

• Chapel : Chapel is a parallel programming language that is designed for high-performance computing. It is often used in AI development for applications that require parallel processing and distributed computing.

• Racket : Racket is a general-purpose programming language that is often used in AI development for its support for advanced algorithms and its ability to handle large datasets.

• Dart : Dart is a programming language developed by Google for building web, server, and mobile applications. It is often used in AI development for its support for asynchronous programming and its ease of use.

• COBOL : COBOL is a programming language that has been in use since the 1950s. It is often used in AI development for applications that require working with large datasets and legacy systems.

• Dartmouth BASIC : Dartmouth BASIC is a beginner-friendly programming language that was originally developed for teaching purposes. It is often used in AI development for applications that require rapid prototyping and experimentation.

• MATLAB : MATLAB is a programming language developed by MathWorks for numerical computing and data analysis. It is often used in AI development for applications that require working with large datasets and complex algorithms.

• Scratch : Scratch is a block-based programming language developed by MIT for teaching children how to code. It is often used in AI development for applications that require rapid prototyping and experimentation.

• Groovy : Groovy is a dynamic programming language that is often used in AI development for applications that require working with large datasets and complex algorithms.

• Ada : Ada is a programming language that is designed for safety-critical and real-time systems. It is often used in AI development for applications that require safety-critical functionality, such as autonomous vehicles and medical devices.

• TypeScript : TypeScript is a superset of JavaScript that adds static typing and other features. It is often used in AI development for applications that require working with large datasets and complex algorithms.

• Swift : Swift is a programming language developed by Apple for developing iOS, macOS, watchOS, and tvOS applications. It is often used in AI development for applications that require real-time data processing and machine learning.

• OCaml : OCaml is a functional programming language that is often used in AI development for its support for functional programming and its ability to handle large datasets.

• Kotlin/Native : Kotlin/Native is a version of Kotlin that can be compiled to native code, allowing it to be used for developing standalone applications. It is often used in AI development for applications that require real-time data processing and machine learning.

• Common Lisp : Common Lisp is a programming language that is often used in AI development for applications that require symbolic reasoning and rule-based decision-making.

• Visual Basic : Visual Basic is a programming language developed by Microsoft for developing Windows applications. It is often used in AI development for applications that require working with large datasets and complex algorithms. Lua: Lua is a lightweight programming language that is often used in AI development for its simplicity and ease of use. It is commonly used in video game development and is also used in AI for applications that require scripting and automation.

• Haxe : Haxe is a high-level programming language that is often used in AI development for its support for cross-platform development and its ability to handle large datasets.

• ChucK : ChucK is a programming language designed for real-time audio synthesis and music composition. It is often used in AI development for applications that require real-time audio processing and machine learning.

• Swift for TensorFlow : Swift for TensorFlow is a version of Swift that is specifically designed for machine learning and numerical computing. It is often used in AI development for applications that require real-time data processing and machine learning.

• D : D is a systems programming language that is often used in AI development for applications that require low-level programming and high-performance computing.

• COQL : COQL is a proof assistant that is based on the Coq programming language. It is often used in AI development for applications that require formal verification and theorem proving.

These are just a few more examples of programming languages used in AI development. As with any programming language, the choice of language for AI development depends on the specific needs and requirements of the project, as well as the developer's experience and expertise.