Since its founding, researchers in the field have raised philosophical and ethical arguments about the nature of the human mind and the consequences of creating artificial beings with human-like intelligence these issues have previously been explored by myth, fiction and philosophy since antiquity. The academic discipline of artificial intelligence was founded at a research workshop at Dartmouth College in 1956, and has experienced several waves of advancement and optimism in the decades since. Main article: History of artificial intelligence However, there are also concerns about the potential misuse of generative AI, including cybercrime or creating fake news or deepfakes which can be used to deceive or manipulate people.

Investment in generative AI surged during the early 2020s, with large companies such as Microsoft, Google, and Baidu as well as numerous smaller firms developing generative AI models. Generative AI has uses across a wide range of industries, including art, writing, script writing, software development, product design, healthcare, finance, gaming, marketing, and fashion. These include large language model chatbots such as ChatGPT, Copilot, Bard, and LLaMA, and text-to-image artificial intelligence art systems such as Stable Diffusion, Midjourney, and DALL-E.

In the early 2020s, advances in transformer-based deep neural networks enabled a number of generative AI systems notable for accepting natural language prompts as input. Generative AI models learn the patterns and structure of their input training data and then generate new data that has similar characteristics. Generative artificial intelligence (also generative AI or GenAI ) is artificial intelligence capable of generating text, images, or other media, using generative models. Théâtre d'Opéra Spatial, an image generated by Midjourney It has been suggested that Synthetic media be merged into this article.

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