Socially Cognizant Robotics for a Technology Enhanced Society
Abstract
Emerging applications of robotics, and concerns about their impact, require the research community to put human-centric objectives front-and-center. To meet this challenge, we advocate an interdisciplinary approach, socially cognizant robotics, which synthesizes technical and social science methods. We argue that this approach follows from the need to empower stakeholder participation (from synchronous human feedback to asynchronous societal assessment) in shaping AI-driven robot behavior at all levels, and leads to a range of novel research perspectives and problems both for improving robots' interactions with individuals and impacts on society. Drawing on these arguments, we develop best practices for socially cognizant robot design that balance traditional technology-based metrics (e.g. efficiency, precision and accuracy) with critically important, albeit challenging to measure, human and society-based metrics.
Keywords
Cite
@article{arxiv.2310.18303,
title = {Socially Cognizant Robotics for a Technology Enhanced Society},
author = {Kristin J. Dana and Clinton Andrews and Kostas Bekris and Jacob Feldman and Matthew Stone and Pernille Hemmer and Aaron Mazzeo and Hal Salzman and Jingang Yi},
journal= {arXiv preprint arXiv:2310.18303},
year = {2023}
}