nam 22 uu 4500 10.59704/2a94578e42e943d2 DE-Verfassungsblog cr||||| 231109s2023||||xx#|||||o|||| ||| 0|eng|| 10.59704/2a94578e42e943d2 doi eng 342 23 Schulz, Wolfgang Author aut We Don’t Need No Education? - Teaching Rules to Large Language Models through Hybrid Speech Governance Schulz, Wolfgang Verfassungsblog 2023-11-09 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Artificial Intelligence doesn't know what's 'true'. Especially, generative AI models like chatbots veer from the truth, i.e. “hallucinate”, quite regularly. Chatbots simply invent information at least 3 percent of the time and sometimes as high as 27 percent. Given the (future) use of such systems in nearly all domains, we might want such systems to follow more stringent rules of accuracy. And those truth-related rules are not the only rules for AI systems that warrant societal scrutiny. How those systems are trained will be crucial. In this blog post, we argue that a new perspective is key to tackle this challenge: “Hybrid Speech Governance”. CC BY-SA 4.0 AIA DSA generative AI large generative ai models llm speech governance Ollig, Christian Author aut Max Steinbeis Verfassungsblog gGmbH Verfassungsblog 2366-7044 https://verfassungsblog.de/we-dont-need-no-education/ raw object