publication . Other literature type . Conference object . 2019

Fairness in Proprietary Image Tagging Algorithms: A Cross-Platform Audit on People Images

Kyriakou Kyriakos; Pınar, Barlas; Styliani, Kleanthous; Jahna, Otterbacher;
Open Access
  • Published: 11 Jun 2019
  • Publisher: Zenodo
Abstract
There are increasing expectations that algorithms should behave in a manner that is socially just. We consider the case of image tagging APIs and their interpretations of people images. Image taggers have become indispensable in our information ecosystem, facilitating new modes of visual communication and sharing. Recently, they have become widely available as Cognitive Services. But while tagging APIs offer developers an inexpensive and convenient means to add functionality to their creations, most are opaque and proprietary. Through a cross-platform comparison of six taggers, we show that behaviors differ significantly. While some offer more interpretation on ...
Subjects
free text keywords: image tagging algorithms, computer vision, cognitive services, social bias, image tagging APIs
Funded by
EC| RISE
Project
RISE
Research Center on Interactive Media, Smart System and Emerging Technologies
  • Funder: European Commission (EC)
  • Project Code: 739578
  • Funding stream: H2020 | SGA-CSA
,
EC| CyCAT
Project
CyCAT
Cyprus Center for Algorithmic Transparency
  • Funder: European Commission (EC)
  • Project Code: 810105
  • Funding stream: H2020 | CSA
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Zenodo
Other literature type . 2019
Provider: Datacite
Zenodo
Other literature type . 2019
Provider: Datacite
Zenodo
Other literature type . 2019
Provider: Datacite
ZENODO
Conference object . 2019
Provider: ZENODO
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