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Gender Fairness in Social Robotics : Exploring a Future Care of Peripartum Depression

Tanqueray, Laetitia LU ; Paulsson, Tobiaz ; Zhong, Mengyu ; Larsson, Stefan LU and Castellano, Ginevra (2022) ACM/IEEE International Conference on Human-Robot Interaction (HRI 2022)
Abstract
In this paper we investigate the possibility of socially assistive robots (SARs) supporting diagnostic screening for peripartum depression (PPD) within the next five years. Through a HRI/socio-legal collaboration, we explore the gender norms within PPD in Sweden, to inform a gender-sensitive approach to designing SARs in such a setting, as well as governance implications. This is achieved through conducting expert interviews and qualitatively analysing the data. Based on the results, we conclude that a gender-sensitive approach is a necessity in relation to the design and governance of SARs for PPD screening.
Please use this url to cite or link to this publication:
author
; ; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
in press
subject
keywords
fairness, social robotics, gender, peripartum depression (PPD), socially assistive robots (SARs), AI governance
host publication
Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction : Alt.HRI - Our Robotics Futures: A Time Capsule - Alt.HRI - Our Robotics Futures: A Time Capsule
pages
10 pages
publisher
Association for Computing Machinery (ACM)
conference name
ACM/IEEE International Conference on Human-Robot Interaction (HRI 2022)
conference location
Japan
conference dates
2022-03-07 - 2022-03-10
project
AI Transparency and Consumer Trust
Fairness in social robotics: gender as a case study for developing a multidisciplinary framework for social robotics and socio-legal studies of AI
Automated decision-making – Nordic perspectives
language
English
LU publication?
yes
id
1d6dfa8d-87da-4be0-b853-0bcc093f7cfd
date added to LUP
2022-01-11 11:51:13
date last changed
2022-01-28 10:42:40
@inproceedings{1d6dfa8d-87da-4be0-b853-0bcc093f7cfd,
  abstract     = {{In  this  paper  we  investigate  the  possibility  of  socially  assistive  robots  (SARs)  supporting  diagnostic  screening for  peripartum  depression  (PPD)  within  the  next  five  years. Through a HRI/socio-legal collaboration, we explore the gender norms   within   PPD   in   Sweden,   to   inform   a   gender-sensitive approach   to   designing   SARs   in   such   a   setting,   as   well   as governance  implications. This  is  achieved  through  conducting expert interviews and qualitatively analysing the data. Based on the  results,  we  conclude  that  a  gender-sensitive  approach  is  a necessity  in  relation  to  the  design  and  governance  of  SARs  for PPD  screening.}},
  author       = {{Tanqueray, Laetitia and Paulsson, Tobiaz and Zhong, Mengyu and Larsson, Stefan and Castellano, Ginevra}},
  booktitle    = {{Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction : Alt.HRI - Our Robotics Futures: A Time Capsule}},
  keywords     = {{fairness; social robotics; gender; peripartum depression (PPD); socially assistive robots (SARs); AI governance}},
  language     = {{eng}},
  month        = {{01}},
  publisher    = {{Association for Computing Machinery (ACM)}},
  title        = {{Gender Fairness in Social Robotics : Exploring a Future Care of Peripartum Depression}},
  url          = {{https://lup.lub.lu.se/search/files/112225110/Tanqueray_2022_Gender_Fairness_in_Social_Robotics_Exploring_a_Future_Care_of_Peripartum_Depression.pdf}},
  year         = {{2022}},
}