Generative artificial intelligence (generative AI, GenAI,[1] or GAI) is a subset of artificial intelligence that uses generative models to produce text, images, videos, or other forms of data.[2] These models often generate output in response to specific prompts.[3][4] Generative AI systems learn the underlying patterns and structures of their training data, enabling them to create new data.[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 5, 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