cognitive bias, Kognitive Verzerrung

• The Half-life of Facts - Why Everything We Know Has an Expiration Date (Samuel Arbesman) (2012)  
• The 25 Cognitive Biases - Uncovering The Myth of Rational Thinking (Charles Holm) (2015)  
• Machine Platform Crowd - Wie wir das Beste aus unserer digitalen Zukunft machen (Andrew McAfee, Erik Brynjolfsson) (2017)   
  • 2. Was wir am schwersten über uns akzeptieren können
• «Das war ein Prognosefehler» (Matthias Horx, Linus Schöpfer) (2017)   
• Reinventing Capitalism in the Age of Big Data (Viktor Mayer-Schönberger, Thomas Ramge) (2018)  
• Post-Truth (Lee McIntyre) (2018)  
  • 3. The Roots of Cognitive Bias  
• Tech Generation (Mike Brooks, Jon Lasser) (2018)  
• Deep Fakes: A Looming Challenge for Privacy, Democracy, and National Security (Bobby Chesney, Danielle Citron) (2018)   
• Lernen mit Bildungstechnologien - Praxisorientiertes Handbuch zum intelligenten Umgang mit digitalen Medien (Helmut M. Niegemann, Armin Weinberger) (2019)
  • 56. Lernen in sozialen Medien (Peter Holtz, Ulrike Creß, Joachim Kimmerle)   
• The Atlas of AI (Kate Crawford) (2021)  
• ChatGPT an Artificial Intelligence in higher education (Emma Sabzalieva, Arianna Valentini) (2023)   
• Digital ist besser?! - Psychologie der Online- und Mobilkommunikation (Markus Appel, Fabian Hutmacher, Christoph Mengelkamp, Jan-Philipp Stein, Silvana Weber) (2023)  
  • Fake News (Jan Philipp Rudloff, Markus Appel)   
• Education for the Age of AI (Charles Fadel, Alexis Black, Robbie Taylor, Janet Slesinski, Katie Dunn) (2024)  
  • 5. Knowledge for the Age of AI  
• The Singularity is nearer (Ray Kurzweil) (2024)  
• AI Snake Oil - What Artificial Intelligence Can Do, What It Can’t, and How to Tell the Difference (Arvind Narayanan, Sayash Kapoor) (2024)  
  • 7. Why Do Myths about AI Persist?
• Die Gaming-Falle (Jeannine Simon) (2024)
• Can Large Language Models Develop Gambling Addiction? (Seungpil Lee, Donghyeon Shin, Yunjeong Lee, Sundong Kim) (2025)