This article argues that generative AI models, like chatbots and CV-screeners, are increasingly biased and require users to adapt their language to 'please' them. The author proposes learning 'Delvish', a machine-inflected dialect of English, to navigate these AI systems effectively.
Despite growing evidence that generative AI creates more work for humans than it saves, organizations are deploying it in frontline roles like customer service chatbots and CV-screeners.with African American English idioms, we just have to shrug and try to factor in their biases long after they've inflicted their damage.
That's where we are now with generative AI. To get anywhere with our medical claims, job applications, and product repairs, we need to learn how to soothe chatbots' synthetic egos – which means understanding their biases so we can get results. Models tend to look with favor upon posh word choices, diction and tone. Dialects of the working class or lower class will get you marked down. Raise the tone of your inputs until you could imagine them being spouted by an aristocratic character in a novel by Victorian-era author Henry James.Language models react poorly to abuse and bullying. While it may feel good to take out your frustrations on an inanimate bot, such behavior will only make the model unresponsive to your requests.
The future belongs to those who can embrace this transition, accept that they've been conquered, and abase themselves before our new LLM masters.
AI Generative AI Bias Chatbots Delvish
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