Jonas Kaplan

University of Southern California

Papers

1

Total Citations

37

H-Index

1

About

Jonas Kaplan is a leading voice at the intersection of artificial intelligence, ethics, and cognitive neuroscience. His research focuses on the critical challenge of embedding genuine empathy into autonomous systems, arguing that without affective understanding, AI risks making harmful, irreversible decisions. In his highly influential 2023 work, *Preventing Antisocial Robots: A Pathway to Artificial Empathy*—which has already garnered 37 citations—Kaplan challenges prevailing models that reduce empathy to mere cognitive mimicry or performative responses. He proposes a novel framework for artificial empathy rooted in affective neuroscience, advocating for machines that can not only recognize but also *feel* the emotional weight of their actions. This contribution has positioned him as a key thinker in the movement to ensure AI safety through emotional intelligence, bridging the gap between technical design and humanistic values. Kaplan’s work is essential reading for anyone concerned with building a future where intelligent agents are not just powerful, but profoundly prosocial.

Research Focus

Key Achievements

1
H-Index
1
Papers
37
Total Citations
37
Avg Citations/Paper
🏆 Most Cited Paper
Preventing antisocial robots: A pathway to artificial empathy
37 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: University of Southern California

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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