What happens when future intelligence analysts graduate without knowing how AI actually behaves under pressure, deception, bias, and adversarial manipulation?
At Hilbert College, we view that risk as unacceptable. Rather than layering AI buzzwords onto legacy curricula, Hilbert has built an applied, deliberate, and operationally grounded sequence of courses that confront how AI is reshaping intelligence work at it’s very core.
The first course immerses students in generative AI for intelligence analysis, assessment, and forecasting. Large language models are not treated as oracles. They are treated as analytic instruments with measurable strengths, predictable failure modes, and serious consequences when misused. Students rigorously compare AI assisted analysis to traditional tradecraft, develop professional grade prompt engineering skills, and learn how hybrid human AI methodologies can improve timeliness without sacrificing analytic integrity.
The second course moves into the cognitive battlespace, where AI powered psychological operations and narrative warfare now operate at scale. Students examine how synthetic media, algorithmic amplification, and AI generated personas manipulate perception, emotion, and belief systems across cultures and political lines. Influence is studied as a system, not a slogan. By the end of the course, students can deconstruct hostile influence campaigns and design counter influence strategies grounded in psychology, media theory, and intelligence discipline.
Course three shifts upstream into intelligence collection itself. Students explore how AI integrates into HUMINT, SIGINT, OSINT, GEOINT, MASINT, and FININT without violating tradecraft or operational security. They design AI supported collection strategies, evaluate reliability and bias in automated outputs, and confront adversary countermeasures aimed at corrupting data pipelines. The focus is practical decision making, not automation fantasy.
The final course addresses a reality many programs ignore. AI systems are now targets. Students study adversarial AI, including prompt injection, data poisoning, model manipulation, and algorithmic exploitation. Through red team simulations, they learn how compromised AI can distort analysis and mislead decision makers, and how to build defensive workflows that protect analytic credibility. Graduates leave with a rare understanding of how to defend intelligence processes in an era where machines are no longer neutral tools.
Hilbert College is not preparing students for a hypothetical future. It is preparing them for the intelligence environment that already exists. One where AI accelerates insight, amplifies risk, and demands analysts who understand both the technology and the tradecraft deeply enough to control it rather than be controlled by it.
Contact Us
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Jonathan Sullivan
Assistant Professor
