Ali Farjami

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About

Ali Farjami is a researcher whose work bridges the evolving fields of machine argumentation and artificial intelligence. His primary research explores how computational models of argumentation can be applied to autonomous decision-making systems, with a particular focus on the ethical and practical challenges of replacing human roles—such as taxi drivers—with robotic counterparts. In his notable 2019 paper, "Machine Argumentation. Can We Replace Taxi Drivers by Robots?", Farjami critically examines the reasoning frameworks required for machines to navigate complex, real-world scenarios that demand human-like judgment. Though this work has garnered 2 citations to date, it represents a foundational step in a niche but growing area of AI ethics and autonomous systems design. Farjami’s contributions lie in questioning not just the technical feasibility, but the societal implications of automation, making his research relevant for students and scholars interested in the intersection of logic, robotics, and human-centered AI. His work encourages deeper reflection on how machines can—and should—participate in tasks traditionally requiring human argumentation and trust.