Generative artificial intelligence (AI) describes algorithms that can be used to create new content, including audio, code, images, text, simulations, and videos. Generative AI algorithms use machine learning models to predict the next word based on previous word sequences, or the next image based on words describing previous images. Generative AI tools can produce credible content in near real time, enabling organizations to produce content to better educate their stakeholders. 

There are limitations and we are very early in understanding the effects of generative AI on businesses. The information produced can be wrong, full of biases and unethical, potentially exposing reputational and legal risks associated with the content. The source of initial data, the training models, and ethical and humane use of software development guidelines and governing principles can help mitigate risks associated with use of generative AI. 

Also: ChatGPT maker OpenAI has a free tool that can spot AI-written text

Research from CBInsights shows that 2022 was a record year for investment in generative AI startups, with equity funding topping $2.6B across 110 deals. The field of Generative AI is at the infancy stage. Among the 250+ generative AI companies identified, 33% have yet to raise any outside equity funding. Another 51% are Series A or earlier, highlighting the early-stage nature of the space. 

https://www.zdnet.com/article/generative-ai/