Generative artificial intelligence (generative AI, GenAI,[1] or GAI) is artificial intelligence capable of generating text, images, videos, or other data using generative models,[2] often in response to prompts.[3][4] Generative AI models learn the patterns and structure of their input training data and then generate new data that has similar characteristics.[5][6]
Generative AI has uses across a wide range of industries, including software development, healthcare, finance, entertainment, customer service,[13] sales and marketing,[14] art, writing,[15] fashion,[16] and product design.[17] However, concerns have been raised about the potential misuse of generative AI such as cybercrime, the use of fake news or deepfakes to deceive or manipulate people, and the mass replacement of human jobs.[18][19] Intellectual property law concerns also exist, around generative models that are trained on and emulate copyrighted works of art.[20]
^Newsom, Gavin; Weber, Shirley N. (September 6, 2023). "Executive Order N-12-23"(PDF). Executive Department, State of California. Archived(PDF) from the original on February 21, 2024. Retrieved September 7, 2023.
^Pinaya, Walter H. L.; Graham, Mark S.; Kerfoot, Eric; Tudosiu, Petru-Daniel; Dafflon, Jessica; Fernandez, Virginia; Sanchez, Pedro; Wolleb, Julia; da Costa, Pedro F.; Patel, Ashay (2023). "Generative AI for Medical Imaging: extending the MONAI Framework". arXiv:2307.15208 [eess.IV].
^Karpathy, Andrej; Abbeel, Pieter; Brockman, Greg; Chen, Peter; Cheung, Vicki; Duan, Yan; Goodfellow, Ian; Kingma, Durk; Ho, Jonathan; Rein Houthooft; Tim Salimans; John Schulman; Ilya Sutskever; Wojciech Zaremba (June 16, 2016). "Generative models". OpenAI. Archived from the original on November 17, 2023. Retrieved March 15, 2023.
^Brynjolfsson, Erik; Li, Danielle; Raymond, Lindsey R. (April 2023), Generative AI at Work (Working Paper), Working Paper Series, doi:10.3386/w31161, archived from the original on March 28, 2024, retrieved January 21, 2024