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Preventing antisocial robots: A pathway to artificial empathy

Year: 2023

Type: article

Abstract: Given the accelerating powers of artificial intelligence (AI), we must equip artificial agents and robots with empathy to prevent harmful and irreversible decisions. Current approaches to artificial empathy focus on its cognitive or performative processes, overlooking affect, and thus promote sociopathic behaviors. Artificially vulnerable, fully empathic AI is necessary to prevent sociopathic robots and protect human welfare.

Source: Science Robotics

DOI: 10.1126/scirobotics.abq3658

Authors: Leonardo Christov-Moore, Nicco Reggente, Anthony Vaccaro, Felix Schoeller, Brock Pluimer, Pamela K. Douglas, Marco Iacoboni, Kingson Man, Antonio Damasio, Jonas T. Kaplan

Institutions: University of Southern California, University of California, Los Angeles, Bar-Ilan University, MIT Media Lab, Massachusetts Institute of Technology, University of Central Florida

Language: English

Topic: Social Robot Interaction and HRI

Subfield: Social Psychology

Field: Psychology

Domain: Social Sciences

Open Access status: bronze

Funders: National Science Foundation, Templeton World Charity Foundation

Awards: NSF2026: EAGER: Homeostasis and soft robotics for the construction of feeling machines, G5961331163

OpenAlex ID: W4384025168

FWCI: 12.75

Cites: 23

Cited by: 43

Related to: 10