The Technical and Ethical Challenges of Generative Model Alignment
August/September 2024: Ethical Considerations on Artificial Intelligence (Volume 24 Issue 4)
Introduction [1] Anyone who has interacted with generative models like ChatGPT or Midjourney knows that their responses can sometimes be deeply flawed. Large language models (LLMs) will sometimes confabulate[1] factual errors. They can also respond in manners that are biased, racist, sexist, or explicit.[i] Text-to-image diffusion models can make relatively harmless errors like misspelling image […]