Dr. Janar Pekarev, a Stanford Global Digital Governance Fellow, will present his research exploring the impact of AI on military decision-making and the nuances of AI-driven command and control. His work uses simulated scenarios with AI feedback ranging from accurate to intentionally flawed. It measures decision accuracy, decision time, and user confidence to determine how varying AI feedback influences the quality and speed of decisions.

The research integrates a machine learning model and an override-rule module within an end-user interface. It operationalizes key principles of the laws of war—distinction, proportionality, and military necessity—through scenario simulations and a blend of qualitative and quantitative metrics. A stepwise experimental design enables a close examination of human-machine interaction dynamics, particularly how the transparency of AI reasoning affects human trust, decision-making biases, and ethical judgments under uncertainty. Though conceptual at this stage, the intent is to facilitate broad empirical validation and interdisciplinary collaboration, thereby augmenting our understanding of adaptive, transparent, and ethically grounded human-machine teaming in military operations.

The Global Digital Governance Fellows program is a joint initiative with Stanford Libraries, Vabamu, and Estonia’s Ministry of Foreign Affairs.

About the Author

Dr. Janar Pekarev is a Global Digital Governance Fellow in the Program in Geopolitics, Technology, and Governance at Stanford’s Center for International Security and Cooperation. Janar holds the rank of Major with more than 20 years in the Estonian military. He is a Fellow at the Estonian Military Academy and a member of multiple NATO STO research groups, including SAS-MSG-ET-FV (Emerging and Disruptive Technology) and NATO STO SAS-160 (Ethical, Legal, and Moral Impacts of Novel Technologies on NATO’s Operational Advantage), as well as an Estonian Ministry of Defence project on cognitive warfare against a superior adversary. Holding a PhD in Sociology and a BA in Law from the University of Tartu, he adopts an interdisciplinary approach that integrates law, military science and technology, and sociology. His research focuses on human-machine teaming within the military domain, with particular emphasis on AI weaponization and the moral programming of the use of force. He has contributed to the field through numerous publications in journals and presentations at academic conferences.

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