text: **Misinformation**
  
  YouTube, Facebook and others use recommender systems to guide users to more content. These AI 
  programs were given the goal of maximizing user engagement (that is, the only goal was to keep people 
  watching). The AI learned that users tended to choose misinformation, conspiracy theories, and extreme 
  partisan content, and, to keep them watching, the AI recommended more of it. Users also tended to watch 
  more content on the same subject, so the AI led people into filter bubbles where they received multiple 
  versions of the same misinformation.[215] This convinced many users that the misinformation was true, 
  and ultimately undermined trust in institutions, the media and the government.[216] The AI program had 
  correctly learned to maximize its goal, but the result was harmful to society. After the U.S. election in 
  2016, major technology companies took steps to mitigate the problem . 
  
  In 2022, generative AI began to create images, audio, video and text that are indistinguishable from real 
  photographs, recordings, films, or human writing. It is possible for bad actors to use this technology to 
  create massive amounts of misinformation or propaganda.[217] AI pioneer Geoffrey Hinton expressed 
  concern about AI enabling "authoritarian leaders to manipulate their electorates" on a large scale, among 
  other risks.[218] 