Bots against Bias: Critical Next Steps for Human-Robot Interaction

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1. Verfasser: Seaborn, Katie
Format: Preprint
Veröffentlicht: 2024
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author Seaborn, Katie
author_facet Seaborn, Katie
contents We humans are biased - and our robotic creations are biased, too. Bias is a natural phenomenon that drives our perceptions and behavior, including when it comes to socially expressive robots that have humanlike features. Recognizing that we embed bias, knowingly or not, within the design of such robots is crucial to studying its implications for people in modern societies. In this chapter, I consider the multifaceted question of bias in the context of humanoid, AI-enabled, and expressive social robots: Where does bias arise, what does it look like, and what can (or should) we do about it. I offer observations on human-robot interaction (HRI) along two parallel tracks: (1) robots designed in bias-conscious ways and (2) robots that may help us tackle bias in the human world. I outline a curated selection of cases for each track drawn from the latest HRI research and positioned against social, legal, and ethical factors. I also propose a set of critical next steps to tackle the challenges and opportunities on bias within HRI research and practice.
format Preprint
id arxiv_https___arxiv_org_abs_2412_12542
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Bots against Bias: Critical Next Steps for Human-Robot Interaction
Seaborn, Katie
Robotics
Artificial Intelligence
Human-Computer Interaction
We humans are biased - and our robotic creations are biased, too. Bias is a natural phenomenon that drives our perceptions and behavior, including when it comes to socially expressive robots that have humanlike features. Recognizing that we embed bias, knowingly or not, within the design of such robots is crucial to studying its implications for people in modern societies. In this chapter, I consider the multifaceted question of bias in the context of humanoid, AI-enabled, and expressive social robots: Where does bias arise, what does it look like, and what can (or should) we do about it. I offer observations on human-robot interaction (HRI) along two parallel tracks: (1) robots designed in bias-conscious ways and (2) robots that may help us tackle bias in the human world. I outline a curated selection of cases for each track drawn from the latest HRI research and positioned against social, legal, and ethical factors. I also propose a set of critical next steps to tackle the challenges and opportunities on bias within HRI research and practice.
title Bots against Bias: Critical Next Steps for Human-Robot Interaction
topic Robotics
Artificial Intelligence
Human-Computer Interaction
url https://arxiv.org/abs/2412.12542