AI and Chatbots: Getting Their Sensitivity Training - TalentCulture

Earlier this year, Microsoft dipped a toe into the Artificial Intelligence space with an AI-powered chatbot that it set loose on Twitter. Designed to pass for a conversational teenager, responding to queries and mimicking casual, playful speech patterns familiar to Millennial and Gen Z users, it was supposed to be cool. Unfortunately, it wasn't long before Tay, the Microsoft-labeled "AI fam from the internet that's got zero chill" devolved into a racial slur spewing monster. Of course, the curious case of Tay was somewhat of a fluke, a science experiment gone rogue, hijacked by internet trolls bent on exploiting the software that ran her. Nevertheless, Microsoft's negative run with Tay highlights an interesting problem facing chatbot developers as well as those who will adopt artificial intelligence technologies for customer service and marketing purposes: How do you make sure your AI chatbot not only stays on the rails, but also operates in a manner that's sensitive to your customers' needs?