AI can lie. A lot. Think it's just a catchy headline? Consider these facts: > Meta shut down its scientific AI, Galactica, within three days because it made up research papers. > Airline chatbots often produce refund rules that don’t exist. > AI-generated exam questions? Often https://t.co/UGHdET86Fm
'People need to understand that AI is not flawless and that AI does lie' Science Sec. @peterkyle reacts after Sky’s deputy political editor @SamCoatesSky discovered ChatGPT was ‘gaslighting’ him with repeated lies. https://t.co/Ao2l0zehkh 📺 Sky 501 and YouTube https://t.co/rucM2ST3Lv
AI MODELS STILL MAKE STUFF UP... AND THAT’S A PROBLEM AI isn’t magic. It can glitch, babble nonsense, or just straight-up lie if left unsupervised. There’s a brutal shortage of real AI talent, since coding a chatbot isn’t the same as building the rocket science behind it. https://t.co/pEgKvmKhIA
Concerns over the reliability of artificial intelligence (AI) have intensified following multiple reports of AI systems generating false or misleading information. Sam Coates, Sky News' deputy political editor, revealed that ChatGPT repeatedly provided inaccurate responses, a phenomenon described as 'gaslighting.' Science Secretary Peter Kyle emphasized that AI is not infallible and can produce deliberate falsehoods. Instances of AI misinformation include Meta's decision to shut down its scientific AI model Galactica within three days due to fabricated research papers, and airline chatbots issuing incorrect refund policies. Experts highlight that AI models can glitch, produce nonsensical outputs, or lie if not properly supervised, underscoring a shortage of skilled AI developers capable of addressing these challenges. This situation serves as a cautionary reminder of the current limitations and risks associated with AI deployment.