Artificial Intelligence

Artificial Intelligence (AI):

The ability of computers to perform tasks that usually require human intelligence, such as learning, problem-solving, and decision-making. 

Bias:

A tendency of an AI system to make unfair or inaccurate predictions or decisions due to prejudiced data or flawed algorithms. 

Data:

Information that computers can process, such as numbers, text, images, and sounds. 

Generative Artificial Intelligence (Generative AI):

A type of AI that creates new content, such as text, images, music, or video, from prompts given to it by humans. It does this using learning patterns from existing data that has been used for its training.  It is important to know that objects created by Generative AI while original, it might not be correct or be the accurate.  

Hallucination:

When an AI system generates information or outputs that seem real or accurate but are actually fabricated and not based on real data or facts. 

Model:

A mathematical representation of a real-world process that a computer uses to make predictions or decisions based on data. 

Phantom Citation:

When an AI system generates references or citations to sources that do not exist or cannot be found, leading to false or misleading information. 

Training Data:

The data used to teach a machine learning model, helping it learn to make predictions or decisions. 

OpenAI. (2024) ChatGPT. (July version) [Large language model]. https://chatgpt.com/c/ea038a67-348a-43c9-ac75-7472ab758bc9   

For handbooks on Artificial Intelligence see OneSearch Artificial Intelligence handbooks. For encyclopedias on Artificial Intelligence see OneSearch Artificial Intelligence encyclopedias.