Best Practices and Guidelines for ChatGPT & API Models

Best Practices and Guidelines for ChatGPT and Similar AI Models

Appendix Glossary

AI (Artificial Intelligence) : Computer systems that are capable of performing tasks typically associated with human intelligence such as learning, reasoning, and problem solving. Most commonly used as a short hand for Generative AI systems. ChatGPT: A generative AI chat program owned by OpenAI. Data entered into chats is used to train the model further and should not be considered private information. Deepfakes: Artificially created media (video, audio, or images) that use advanced AI technology, particularly deep learning, to replace a person's likeness with someone else's in a convincingly realistic manner. These sophisticated forgeries leverage neural networks to manipulate or generate visual and audio content that can be nearly indistinguishable from authentic media. Generative AI : A subset of artificial intelligence that uses generative models to produce text, videos, images, and other data based on patterns learned from training. Designed to always respond with the most statistically relevant answer. Hallucinations: AI responses that contain inaccurate, incomplete, or non-factual information. When prompted, if the AI system does not have access to the information or the full context of the request, the response may be incorrect despite sounding authoritative. LLM (Large Language Model) : This is the underlying technology for Generative AI systems such as ChatGPT. These models are trained on vast amounts of data and will always respond with information that is most statistically relevant to the request made. PII (Personally Identifiable Information): Information that contains the names, social security numbers, financial information, bank account information, and credit card information of individuals or organizations.