Dina Urikh

Barcelona Institute of Science and Technology

Papers

Total Citations

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About

Dina Urikh is a researcher at the forefront of machine morality, exploring how artificial intelligence can navigate ethical decision-making in human-robot interactions. Her most-cited work, "Machine Morality: From Harm-Avoidance to Human-Robot Cooperation" (2020), has garnered 5 citations and lays a foundational framework for transitioning AI systems from simple harm-avoidance protocols to sophisticated cooperative moral reasoning. This contribution is pivotal in addressing the ethical challenges of autonomous systems, particularly in collaborative environments where robots must balance safety with proactive, socially aware behavior. Urikh’s research bridges philosophy, computer science, and robotics, offering practical insights into designing moral agents that can earn human trust. While her citation count reflects the emerging nature of this field, her work is already influencing discussions on AI ethics and human-robot teamwork. For students and researchers, Urikh’s scholarship provides a clear entry point into the critical question of how machines can be programmed to act not just safely, but morally, in an increasingly automated world.