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Introduction
National security is entering a new era in which human judgement and artificial intelligence are becoming inseparable. Modern states face complex threats, including information warfare, cyber attacks, military competition, terrorism, and geopolitical crises. These challenges, coupled with the advent of funding for research and development, produce large volumes of data aimed at enabling quick, accurate, and responsible decision-making in security strategy.
Artificial intelligence, as seen in recent conflicts, offers powerful tools for this environment. It can process large datasets to train military technologies, recognise patterns for defence or offensive operations, generate predictions to support strategic combat planning, and, overall, support faster decision-making. However, national security is not only technical but also involves several factors, such as human intent, political judgement, ethical responsibility, uncertainty, and the risk of escalation.
This is why the future of national security is likely to depend on human-machine intelligence rather than on either humans or machines acting alone, for maximum utilisation. Human-machine intelligence refers to the combined use of human judgement and artificial intelligence in decision-making. In this model, AI supports analysis and prediction, while humans provide meaning, context, creativity, and accountability.
This article explores how humans and AI can work together in intelligence forecasting, strategic planning, and crisis decision-making
Understanding Human-Machine Intelligence
Human-machine intelligence is based on the idea that humans and AI have different but complementary strengths. AI systems are excellent at processing information at speed and scale. They can search through large amounts of data, identify correlations, and produce predictions that may help security officials understand possible risks.
Humans, however, remain essential because they understand meaning and context. A machine may detect a pattern, but a human must decide what that pattern means. For example, increased military movement near a border could indicate preparation for war, a training exercise, political signalling, or defensive caution. AI may identify the movement, but human analysts must interpret the intention behind it.
In national security, this partnership is especially important because decisions often carry serious consequences, right or wrong. A wrong judgement could lead to conflict, civilian harm, diplomatic failure, or unnecessary escalation. For this reason, AI should not simply replace human decision-makers. Instead, it should strengthen human judgement by providing better information, faster analysis, and alternative possibilities.
The Role of AI in National Security Decision-Making
AI can contribute to national security in several important ways. One of its main strengths is data processing. Intelligence agencies and defence organisations deal with enormous amounts of information from satellites, sensors, communications, financial systems, social media, and battlefield reports. Human analysts cannot examine all of this manually, but AI can help filter, classify, and highlight important patterns.
AI is also useful in prediction. It can compare current information with past data and estimate likely outcomes. In intelligence forecasting, this may help analysts assess whether a crisis is likely to worsen, whether an adversary may take military action, or whether a cyber threat is developing.
Another major advantage is speed. In some national security situations, especially cyber defence or military operations, decisions must be made very quickly. AI can detect threats and recommend responses faster than humans. This can improve readiness and help governments respond before damage becomes severe.
However, AI’s speed also creates risks. A fast decision is not always a correct or wise decision. Strategic decisions require reflection, political awareness, and ethical judgement. AI can support decision-making, but it should not be treated as automatically superior to human judgement.
Why Human Judgement Still Matters
Human judgement remains central to national security because strategy involves more than calculation. It involves understanding people, motives, values, history, and political consequences. These are areas where AI remains limited.
Humans are better at understanding intention. In international relations, states often send signals to each other through military exercises, speeches, sanctions, or diplomatic actions. These signals can be ambiguous. A machine may struggle to understand whether an action is threatening, defensive, or intended to open negotiation.
Humans are also better at creativity. Strategy often requires imagining new possibilities, combining ideas, and adapting to changing circumstances. Machines are strong at exploratory creativity, especially in structured environments, but humans are stronger at broader forms of creativity that depend on context and meaning.
Most importantly, humans carry responsibility. National security decisions can affect lives and societies. A machine cannot be morally accountable in the same way as a human leader, commander, or institution. Therefore, human responsibility must remain at the centre of decisions involving force, surveillance, crisis response, and escalation.
Human-Machine Intelligence in Strategic Forecasting
Strategic forecasting is one of the clearest areas where human-machine intelligence can be useful. Forecasting involves estimating what may happen in the future, such as whether a conflict may begin, whether a government may collapse, or whether an adversary may escalate a crisis.
AI can help by detecting early warning signs and identifying statistical relationships. It can examine large datasets and suggest probabilities. This gives analysts more evidence to work with and may reveal patterns that humans might miss.
However, forecasting also requires human judgement. AI is based mainly on correlation, not true understanding. It may recognise that certain patterns have appeared before, but it may not understand why those patterns matter. Human analysts must decide whether the AI’s prediction is relevant, whether the data is reliable, and whether the situation is genuinely comparable to past events.
Human-Machine Intelligence in Crisis Decision-Making
Crisis decision-making is one of the most important areas for the future of national security. During a crisis, leaders may have limited time, incomplete information, and high-pressure scenarios to respond to. AI may assist by monitoring developments, identifying risks, and suggesting possible responses.
For example, AI could help detect cyber attacks, track troop movements, analyse public communications, or model possible enemy reactions. This could give decision-makers a clearer picture of a fast-moving situation.
However, crisis decision-making also shows the dangers of relying too heavily on machines. AI systems may misread ambiguous signals. An adversary’s attempt to de-escalate could be interpreted as preparation for further action. If automated systems respond too quickly, escalation could happen before human leaders fully understand the situation. Another challenge is that automated military systems could rapidly escalate conflict, similar to how automated trading systems have caused sudden instability in financial markets. This example shows that machine speed can be dangerous when human judgement is pushed out of the process.
Risks and Challenges
The rise of human-machine intelligence brings several challenges for national security.
One major challenge is overtrust. Decision-makers may assume that AI is objective or highly accurate because it is technical. This can lead them to accept machine recommendations without enough questioning.
Another challenge is explainability. Many AI systems, especially deep learning systems, are difficult to understand. They may produce an answer without clearly showing how they reached it. This is a problem in national security because leaders need to know why a recommendation is being made before acting on it.
A third challenge is bias. AI systems learn from data, and data can contain errors, gaps, or social and political bias. If the data is flawed, the AI’s conclusions may also be flawed.
There is also the challenge of accountability. If a human-machine team makes a harmful decision, responsibility cannot be placed on the machine alone. Human institutions must remain accountable for how AI is designed, used, and supervised.
Finally, there is the problem of alignment. AI systems may be designed to achieve narrow goals, while national security goals are often complex. A machine might optimise for tactical success while ignoring wider political, ethical, or diplomatic consequences.
The Future of National Security
The future of national security will likely involve deeper cooperation between humans and machines. AI will become more important in intelligence analysis, cyber defence, military planning, surveillance, logistics, and crisis management. States that use AI effectively may gain strategic advantages.
However, the most successful national security systems will not be those that remove humans from decision-making. They will be those who combine machine speed with human wisdom. AI can help leaders see more information, test more options, and respond more quickly. Humans must decide what the information means, which options are acceptable, and how decisions fit wider strategic goals.
This future will require training, regulation, and strong ethical standards. Security professionals must learn how AI works, where it is useful, and where it is dangerous. Governments must also create rules to ensure that human judgement remains meaningful, especially in decisions involving military force or escalation.
Human-machine intelligence should therefore be seen as a partnership. The machine strengthens analysis, but the human gives direction, judgement, and responsibility.
Conclusion
The relationship between human intelligence and artificial intelligence will shape the future of national security. AI offers major advantages in speed, memory, data processing, pattern recognition, and prediction. These strengths can improve intelligence forecasting, strategic planning, and crisis response.
Yet AI also has serious limits. It does not understand meaning, intention, morality, or political context in the same way humans do. It can misread signals, reproduce bias, and produce decisions that are difficult to explain.
For this reason, the future of national security should not be fully automated. It should be built around human-machine intelligence, where AI supports but does not replace human judgement. In an age of complex threats and rapid technological change, the strongest approach will be one that combines machine capability with human responsibility.