Alex Campolo on “Affect and Inference: Genealogies of Affect Recognition in AI”


Please join the Affect and the Emotions Workshop
on Monday, January 13 when

Alex Campolo
Postdoctoral Fellow
Stevanovich Institute on the Formation of Knowledge
University of Chicago

presents the paper:

“Affect and Inference: Genealogies of Affect Recognition in AI”
Monday, January 13 |
 Social Science Research 302 | 4:30-6pm

Respondent: Eamon Duede, Philosophy and the Committee on Conceptual and Historical Studies of Science

Description: Facial recognition has proven to be a defining application of contemporary deep learning techniques in artificial intelligence. But recognition seems only to scratch the surface of what our faces might reveal. Automated forms of affect and emotion recognition now purport to infer our inner feelings by analyzing images of our faces. This paper excavates connections between the psychology of emotional expression and computing during the twentieth century. More broadly it asks us to think about how emotional categories are being constructed and interpreted, how our facial expressions have become data—and to what ends.

 

The paper, to be read in advance, will be distributed to the Affect and the Emotions Workshop mailing list and is available in the post below with a password. Light refreshments will be served.

We are committed to making our sessions accessible to all persons. Questions, requests, or concerns may be directed to the coordinator by email. To join our mailing list, please click here.

 

Images: Duchenne, G.B. Mécanisme de la physionomie humaine ou Analyse électro-physiologique de l’expression des passions. 1862.

Lucey, P., J. F. Cohn, T. Kanade, J. Saragih, Z. Ambadar, and I. Matthews. The Extended Cohn-Kanade Dataset (CK+): A Complete Dataset for Action Unit and Emotion-Specified Expression. 2010.

michalz