Inclusive HRI: Equity and Diversity in Design, Application, Methods, and Community
conference paper
Discrimination and bias are pressing issues of many AI and robotics applications. These outcomes may derive from limited datasets that do not fully represent society as a whole or from the AI scientific community’s western-male configuration bias. Although being a pressing issue, understanding how robotic systems can replicate and amplify inequalities and injustice among underrepresented communities is still in its infancy among social science and technical communities. This workshop contributes to filling this gap by exploring the research question: What do diversity and inclusion mean in the context of Human- Robot Interaction (HRI)? Here, attention is directed to three different levels of HRI: the technical, the community, and the target user level. Overall, this workshop will focus on the idea that AI systems can be created to be more attuned to inclusive societal needs, respect fundamental rights, and represent contemporary values in modern societies by integrating diversity and inclusion considerations.
TNO Identifier
966575
ISBN
978-1-5386-8554-9
Publisher
IEEE
Source title
DEI HRI 2022 Inclusive HRI: Equity and Diversity in Design, Application, Methods, and Community, Sapporo, Hokkaido, Japan March 7-11 virtual conference
Editor(s)
Sakamoto, D.
Weiss, A.
Weiss, A.
Place of publication
Piscataway, NJ
Pages
1247-1249
Files
To receive the publication files, please send an e-mail request to TNO Repository.