Daniel Marino

Papers

Total Citations

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About

Daniel Marino is a leading voice in the emerging field of human-AI collaboration, with a primary focus on designing trustworthy AI systems for high-stakes environments. His most influential work, "AI Augmentation for Trustworthy AI: Augmented Robot Teleoperation" (2020, 11 citations), addresses a critical barrier to AI adoption: the reluctance to cede full control in sectors like healthcare, manufacturing, and defense. Marino’s key contribution lies in reframing AI not as an autonomous replacement, but as an augmentation tool that enhances human decision-making and teleoperation, thereby building trust without sacrificing safety. By demonstrating how AI can amplify human capabilities while keeping operators “in the loop,” his research bridges the gap between cutting-edge AI performance and practical, risk-aware deployment. Though his citation count reflects the niche but vital nature of his work, Marino’s ideas have influenced safety-critical system design and human-robot interaction protocols. His research is particularly notable for its pragmatic approach to AI ethics, offering a blueprint for integrating intelligent systems into real-world scenarios where failure is not an option. For students and researchers, Marino’s work serves as a compelling case study in how to make AI both powerful and accountable.