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Dr. Barr's research examines how artificial intelligence is transforming human judgment, decision-making, and responsibility in military operations. She investigates when AI-enabled decision-support systems enhance commanders' assessments and when they disrupt, displace, or bypass human judgment.
Drawing on behavioral decision science, command and control, and international humanitarian law, her work explores human–machine interaction, automation bias, and the challenges of preserving meaningful human control in AI-mediated warfare.
A central focus is the responsible development and use of military AI, including the institutional safeguards, organizational practices, and governance frameworks needed to sustain human judgment and legal accountability throughout the military decision cycle. Her research contributes to broader debates on human agency, responsible AI, and the changing relationship between human and machine intelligence in high-stakes environments.

Dr. Barr's research examines how political leaders and advisory groups make foreign policy decisions under conditions of uncertainty, complexity, and competing priorities. Drawing on political psychology, behavioral economics, and foreign policy analysis, her publications investigate cognitive biases, group dynamics, and the influence of groupthink, polythink, and decision-making processes on strategic choices.
Her research explores how psychological, institutional, and organizational factors shape foreign policy decisions, particularly in international crises and security contexts. She has also taught master's-level courses in decision-making and foreign policy decision-making, integrating behavioral theories, analytical frameworks, and historical case studies to examine how states and their leaders formulate and implement foreign policy.

Combining her expertise in teaching and strategy, Dr. Barr offers tutorials on academic writing, the application of AI tools, and workflow optimization. Her practical guidance empowers students, academics, and professionals to enhance productivity, streamline research, and achieve impactful results, bridging traditional methodologies with cutting-edge innovations.
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