Jiaqi Peng

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About

Jiaqi Peng is a researcher at the intersection of artificial intelligence, logic, and ethical reasoning. Their most-cited work, "Algebraic Modeling of Trolley Problems on a Boolean Multivalued Logic" (2022), offers a novel mathematical framework for analyzing classic moral dilemmas in AI decision-making. By moving beyond the rigid three laws of robotics, Peng introduces a Boolean multivalued logic that models the psychological complexity of trolley problems, addressing the long-standing frame problem in AI ethics. This contribution provides a rigorous algebraic structure for simulating how autonomous systems might weigh competing moral imperatives. With 2 citations, this work has already sparked interest among scholars exploring formal ethics and machine reasoning. Peng’s research is notable for bridging abstract logic with real-world ethical challenges, offering tools that could inform the development of more nuanced, context-aware AI. Their approach stands out for its interdisciplinary ambition—combining philosophy, psychology, and mathematics—to tackle one of AI’s most persistent dilemmas: how to encode moral judgment in machines.