Hari Thiruvengada

Papers

Total Citations

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About

Hari Thiruvengada’s research bridges cognitive science, artificial intelligence, and environmental sustainability, with a focus on perception-based task analysis and ethical AI design. His early work introduced a computational formalism using Petri Nets to model Gibson’s concept of affordances—the actionable possibilities an environment offers an agent. This foundational contribution, published in 2006, laid the groundwork for perception-driven task analysis, influencing human-computer interaction and robotics. More recently, Thiruvengada has turned to pressing global challenges, proposing “agentic rulebooks” grounded in active inference to guide AI systems toward environmental sustainability. His 2025 paper tackles the dual nature of AI: while it optimizes resource use, it also carries significant ecological costs. By advocating for rule-based, self-regulating AI agents, he offers a path to reconcile technological progress with planetary health. Though his citation counts are modest—2 and 1 respectively—his work is conceptually rich, merging theoretical rigor with real-world urgency. Thiruvengada’s career reflects a commitment to designing intelligent systems that are not only capable but also conscientious, making him a thoughtful voice in the growing discourse on sustainable AI.