AI systems are becoming increasingly larger and complex, but despite the technology's progress, they exhibit higher levels of toxic behaviors, according to the latest AI Index Report. The 2022 report, the development of which was led by Stanford University's Institute for Human-Centered AI, analyses how machine learning affects research and development, economies, and policy-making across the world. One trend highlighted by the study, now in its fifth year, that will probably remain in vogue for the foreseeable future, is that neural networks are getting bigger. There are now language models with hundreds of billions and even trillions of parameters trained on terabytes of text scraped from the internet. These massive systems can complete all sorts of tasks, from generating content to helping developers code, to a degree. They have become more powerful and potentially more harmful.