Dein Suchergebnis zum Thema: danger

Attack on autopilots

https://www.mpg.de/14931044/attack-on-autopilots

How fast the development from assisted to fully automated vehicles will progress is uncertain. One crucial factor here is the reliability with which a vehicle can navigate in its surroundings and react to unforeseeable incidents. Our group at the Max Planck Institute for Intelligent Systems showed that methods for motion analysis based on deep neural networks – likely components in future autonomous vehicles – can be confused by small patterns designed to “attack” these networks.
The danger that existing vehicles currently available on the market are affected

Online Misinformation

https://www.mpg.de/24132917/0205-bild-online-misinformation-149835-x1?c=21982750

Researchers at the Max Planck Institute for Human Development have identified who is most susceptible to online misinformation and why. Their meta-analysis reveals surprising patterns on how demographic and psychological factors—including age, education, political identity, analytical thinking, and motivated reflection—affect people’s ability to assess the accuracy of information. For instance, individuals with higher levels of education are just as likely to fall for misinformation as those with a lower level of education. The work, published in the journal PNAS, provides important information for theory building and designing interventions.
This finding underscores the danger of repeated exposure to misinformation, particularly

Online Misinformation

https://www.mpg.de/24132917/0205-bild-online-misinformation-149835-x1

Researchers at the Max Planck Institute for Human Development have identified who is most susceptible to online misinformation and why. Their meta-analysis reveals surprising patterns on how demographic and psychological factors—including age, education, political identity, analytical thinking, and motivated reflection—affect people’s ability to assess the accuracy of information. For instance, individuals with higher levels of education are just as likely to fall for misinformation as those with a lower level of education. The work, published in the journal PNAS, provides important information for theory building and designing interventions.
This finding underscores the danger of repeated exposure to misinformation, particularly

Online Misinformation

https://www.mpg.de/24132917/0205-bild-online-misinformation-149835-x1?c=12641463

Researchers at the Max Planck Institute for Human Development have identified who is most susceptible to online misinformation and why. Their meta-analysis reveals surprising patterns on how demographic and psychological factors—including age, education, political identity, analytical thinking, and motivated reflection—affect people’s ability to assess the accuracy of information. For instance, individuals with higher levels of education are just as likely to fall for misinformation as those with a lower level of education. The work, published in the journal PNAS, provides important information for theory building and designing interventions.
This finding underscores the danger of repeated exposure to misinformation, particularly