Published July 1, 2020 | Version Published
Conference paper Open

Emotion-based Stereotypes in Image Analysis Services

  • 1. Research Centre on Interactive Media, Smart Systems & Emerging Technologies (RISE Ltd.), Nicosia, Cyprus
  • 2. Open University of Cyprus, Nicosia, Cyprus
  • 3. University of Cyprus, Nicosia, Cyprus

Description

Vision-based cognitive services (CogS) have become crucial in a wide range of applications, from real-time security and social networks to smartphone applications. Many services focus on analyzing people images. When it comes to facial analysis, these services can be misleading or even inaccurate, raising ethical concerns such as the amplification of social stereotypes. We analyzed popular Image Tagging CogS that infer emotion from a person's face, considering whether they perpetuate racial and gender stereotypes concerning emotion. By comparing both CogS and Human-generated descriptions on a set of controlled images, we highlight the need for transparency and fairness in CogS. In particular, we document evidence that CogS may actually be more likely than crowdworkers to perpetuate the stereotype of the "angry black man" and often attribute black race individuals with "emotions of hostility".

Notes

This work has been partly supported by the project that has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 739578 (RISE – Call: H2020-WIDESPREAD-01-2016-2017-TeamingPhase2) and the Republic of Cyprus through the Deputy Ministry of Research, Innovation and Digital Policy.

Files

ACM_FairUMAP_2020___Stereotyping_in_Emotion_Image_Analysis_Services.pdf

Additional details

Funding

RISE – Research Center on Interactive Media, Smart System and Emerging Technologies 739578
European Commission