• 
• 7 min
• Vice
• 2019

Programmer creates an application that uses neural networks to remove clothing from the images of women. Deepfake technology being used against women systematically, despite continued narrative that its use in the political realm is the most pressing issue.

• Deep Fake
• Gender Bias
• Machine Learning
• Object Recognition

• 
• 7 min
• New York Times
• 2018

Youtube’s algorithm suggests increasingly radical recommendations to its users, maximising the amount of time they spend on the platform. The tendency toward inflammatory recommendations often leads to political misinformation.

• Digital Media Misinformation
• Polarization
• Recommender Systems
• Social Networks

• 
• 10 min
• Quartz
• 2019

A comparison of surveillance systems in China and the US which target, and aid in the persecution of, ethnic minorities. Data on targeted people is tracked extensively and compiled into intuitive databases which can be abused by government organizations.

• Data Privacy
• Civil Surveillance
• Machine Learning
• Data Mining

• 
• 15 min
• The App Solutions

Overview of recommender systems, which are information filtering algorithms design to suggest content or products to a particular user.

• Data Privacy
• Technology Based Entertainment and Leisure
• Recommender Systems
• Data Mining

• 
• 5 min
• CNN
• 2010

Algorithms and machines can struggle with facial recognition, and need ideal source images to perform it consistently. However, its potential use in monitoring and identifying citizens is concerning.

• Civil Surveillance
• Limitations of Digital Technologies
• Computer Vision
• Machine Learning

• 
• 7 min
• The Verge
• 2019

Reliance on “emotion recognition” algorithms, which use facial analysis to infer feelings. Credibility of the results in question based on inability of machines to recognize abstract nuances.

• Limitations of Digital Technologies
• Computing Ethics Issues
• Computer Vision
• Machine Learning