Recent advances in the field of generative AI, such as chatGPT and Stable Diffusion, have generated a lot of buzz in the data science community and within the general public. These text generation algorithms can write stories, code computer programs, offer advice, and hold conversations. Image generation algorithms can generate images based on complex text prompts with a high level of semantic understanding, edit real images through text instructions, and even create short videos. These new models are able to generate creative new content, and may serve as a tool to express our imagination. Deployed at scale, the potential of generative AI capabilities is transformative, with some people even arguing that we are headed for a future where AI-generated text and images dominate human content.

In this roundtable, we will explore the potential and risks of large-scale adoption of generative text capabilities. We will discuss how these algorithms can be used to create positive impact, improve current tools in various fields such as medicine, healthcare, and AGTech, and consider the balance between effective and profitable use of text-generating algorithms and the dangers of relying on their output irresponsibly.