Minds and Machines, volume 34, issue 1, publication number 3

Philosophical Lessons for Emotion Recognition Technology

Rosalie Waelen 1
1
 
Sustainable AI Lab, Institute für Wissenschaft und Ethik, Universtät Bonn, Bonn, Germany
Publication typeJournal Article
Publication date2024-04-25
scimago Q1
SJR1.945
CiteScore12.6
Impact factor4.2
ISSN09246495, 15728641
Abstract

Emotion recognition technology uses artificial intelligence to make inferences about a person’s emotions, on the basis of their facial expressions, body language, tone of voice, or other types of input. Underlying such technology are a variety of assumptions about the manifestation, nature, and value of emotions. To assure the quality and desirability of emotion recognition technology, it is important to critically assess the assumptions embedded in the technology. Within philosophy, there is a long tradition of epistemological, ontological, phenomenological, and ethical reflection on the manifestation, nature, and value of emotions. This article draws from this tradition of philosophy of emotions, in order to challenge the assumptions underlying current emotion recognition technology and to promote a more critical engagement with the concept of emotions in the tech-industry.

Found 
Found 

Top-30

Journals

1
1

Publishers

1
1
  • We do not take into account publications without a DOI.
  • Statistics recalculated only for publications connected to researchers, organizations and labs registered on the platform.
  • Statistics recalculated weekly.

Are you a researcher?

Create a profile to get free access to personal recommendations for colleagues and new articles.
Share
Cite this
GOST | RIS | BibTex
Found error?