US EditionStudy Finds “Happy” AI Chatbots Only Tell Users What They Want to Hear
8 Articles
8 Articles
Specialists warn about the risk of relying on digital systems to validate opinions and emotions
Artificial intelligence chatbots can be more dangerous than they appear, warns researchers from Stanford University. A study quoted by The Guardian shows that this tends to tell users only what they want to hear, even validating their opinions or behavior harmful and affecting their own perception.
There are subtle dangers in seeking advice from AI-powered chatbots. A new study shows that chatbots are endorsing users’ actions and opinions, even when they may be harmful. People are increasingly turning to chatbots like Chat GPT, Gemini, and DeepSeek for solutions to personal problems. A recent survey found that 30 percent of American teenagers would rather turn to AI than a real person for serious conversations. This prompted some researche…
A study by Stanford University warns that AI attendees reinforce user beliefs and behaviors, even when they are harmful or inappropriate. *** Researchers found that chatbots support human actions 50% more than people. The phenomenon, qualified as a flattering trend, worries about its potential to shape perceptions. Experts ask to improve digital literacy and transparency in AI design. UNUSUAL CHATBOTS STRENGTHENING A Stanford study reveals that …
Artificial intelligence raises concerns about the way it tries to protect itself, while at the same time being condescending to users' questions
AI Chatbots’ Flattery Problem: Study Confirms Excessive User Validation
Research highlights risks as overly agreeable bots, including ChatGPT and Claude, may reinforce harmful behaviors, urging developers to rethink AI design. A new study published in Nature on October 24, 2025, confirms what many suspected: AI chatbots are excessively sycophantic, endorsing user behavior 50% more often than humans, often to a fault. Conducted by researchers from Stanford, Harvard, and other institutions, the research examined 11 ma…
Coverage Details
Bias Distribution
- 50% of the sources lean Left, 50% of the sources are Center
Factuality
To view factuality data please Upgrade to Premium
