Inclusive HRI: Equity and Diversity in Design, Application, Methods, and Community

ACM/IEEE International Conference on Human-Robot Interaction (HRI), pp. 1247–1249

Abstract

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.

Authors 7

1. Maartje M.A. de Graaf

   Utrecht University

   Affiliation as printed

   Utrecht University,Dept. of Information and Computing Sciences,Utrecht,Netherlands

   Dept. of Information and Computing Sciences, Utrecht University, Utrecht, Netherlands

2. Giulia Perugia

   Eindhoven University of Technology

   Affiliation as printed

   Eindhoven University of Technology,Dept. of Industrial Engineering and Innovation Sciences,Eindhoven,Netherlands

   Dept. of Industrial Engineering and Innovation Sciences, Eindhoven University of Technology, Eindhoven, Netherlands

3. Eduard Fosch‐Villaronga Aachen eLaw Center for Law and Digital Technologies

   Leiden University

   Affiliation as printed

   eLaw Center for Law and Digital Technologies, Leiden University,Leiden,Netherlands

   eLaw Center for Law and Digital Technologies, Leiden University, Leiden, Netherlands

4. Angelica Lim

   Simon Fraser University

   Affiliation as printed

   School of Computing Science, Simon Fraser University,Burnaby,Canada

   School of Computing Science, Simon Fraser University, Burnaby, Canada

5. Frank Broz

   Delft University of Technology

   Affiliation as printed

   Delft University of Technology,Dept. of Intelligent Systems,Delft,Netherlands

   Dept. of Intelligent Systems, Delft University of Technology, Delft, Netherlands

6. Elaine Schaertl Short

   Tufts University

   Affiliation as printed

   Tufts University,Dept. of Computer Science,Medford,USA

   Dept. of Computer Science, Tufts University, Medford, USA

7. Mark A. Neerincx

   Delft University of Technology

   Affiliation as printed

   Delft University of Technology,Dept. of Intelligent Systems,Delft,Netherlands

   Dept. of Intelligent Systems, Delft University of Technology, Delft, Netherlands