A New AI Tool Lets Candidates See What Chatbots Are Telling Voters

NOTUS: “In California’s gubernatorial primary, Tom Steyer had the biggest war chest in a crowded field of Democrats, spending more than $200 million out of his own pocket. But money alone wasn’t enough — he ended up placing third, falling just short in his quest to compete for November’s general election. A contributing factor, according to a case study shared with NOTUS, was the unflattering response voters were presented with when they asked artificial intelligence-powered chatbots about Steyer’s candidacy. In fact, according to most models, the billionaire was just lucky to have made it into the top three. “In ranked lists of working-class affordability candidates, AI explicitly placed him [Steyer] sixth. Cost-of-living: sixth. Education funding: sixth,” the progressive political organization Run for Something reported in its case study, which found that Reddit threads in r/California were frequently cited next to more established mainstream newsrooms like CalMatters. As the AI industry continues to pitch its nascent technology as a resource for voters in understanding complicated political matters, there’s little public insight into how models arrive at their conclusions, making it incredibly difficult for candidates and their campaigns to message through the increasingly popular medium…”

Posted in: AI, Congress, Education, Government Documents, Internet, Knowledge Management