If there’s one thing that has really generated a buzz this year, it’s artificial intelligence (AI). Starting in December of last year, when ChatGPT burst onto the scene, hardly a week has gone by without there being some new headline or challenge having to do with AI. Everyone was thrilled by ChatGPT, with many even calling it the dawn of a new era. But it wasn’t long before the challenges of large language models (LLMs) became clear, too. Racism, assumed gender roles, and misinformation were especially common – the issue there being that LLMs learn from existing data. If the data is erroneous or bad, then the output isn’t as desired, either. These issues were quickly and optimally resolved and are being continuously improved through intensive reviews, revisions and re-training of the models, including content moderation.