Social platforms currently include ‘machine vision’ systems that automatically classify faces, expressions, objects, and brand logos in images. Data from machine vision systems are used to provide targeted content to users, often without their knowledge and sufficient public oversight.

Dr Nicholas Carah uses a novel combination of computational and cultural research methods to:

  • Examine how machine vision works in platforms such as Instagram.
  • Explore their role in everyday visual contexts (festivals, food, and lifestyle sports)
  • Improve public understanding of machine vision systems.

Project members

Associate Professor Nicholas Carah

Associate Professor
School of Communication and Arts