Ariel M. Greenberg

Johns Hopkins University Applied Physics Laboratory

Papers

Total Citations

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About

Ariel M. Greenberg is a pioneering researcher at the intersection of robotics, artificial intelligence, and ethics. Their work focuses on ensuring that intelligent systems operate safely and morally alongside humans, particularly in high-stakes environments. Greenberg’s most influential paper, “Designing robots that do no harm: understanding the challenges of Ethics for Robots” (2023), has garnered 15 citations and lays the groundwork for embedding ethical reasoning into autonomous systems. In “Foundational concepts in person-machine teaming” (2023), with 10 citations, Greenberg explores the social dynamics of human-AI collaboration, emphasizing trust and cooperative behavior as machines become more autonomous. Their earlier work, “Deciding Machines: Moral-Scene Assessment for Intelligent Systems” (2020), introduces frameworks for evaluating ethical dilemmas in real-time machine decision-making. Greenberg’s contributions are vital as society grapples with integrating AI into daily life, offering both theoretical foundations and practical guidelines for designing machines that prioritize human safety and values. Their research is essential reading for anyone interested in the future of ethical robotics and human-machine teaming.