Meanwhile, we already have examples of companies so eager to cut corners that they're automating tasks the AI can't handle -- like the tech site CNET autogenerating error-ridden financial articles. And when AI goes awry, the effects are likely to be felt disproportionately by the already marginalized. For all the excitement around ChatGPT and its ilk, the makers of today's large language models haven't solved the problem of biased data sets that have already embedded racist assumptions into AI applications such as face recognition and criminal risk-assessment algorithms. Last week brought another example of a Black man being wrongly jailed because of a faulty facial recognition match.