AutoNorms
Weaponised Artificial Intelligence, Norms, and Order
An International Research Project
funded by the European Research Council (ERC), hosted by the Centre for War Studies (CWS) at the University of Southern Denmark (SDU)
August 2020 - July 2026
An International Research Project
August 2020 - July 2026
Practices of designing, training personnel for, and using weapon systems integrating artificial intelligence (AI) technologies shape global norms on the use of force.
This is the core finding of the EU-funded AutoNorms project, which was led by Professor Ingvild Bode from August 2020 to July 2026.
AutoNorms developed a new theoretical approach to study how norms, understood as standards of appropriateness, manifest and change in practices related to the development and use of weaponised AI.
It traced the trajectory of norm emergence and change across four contexts of practices (military, transnational political, dual-use and popular imagination) in four states: China, Japan, Russia, and the US.
The AutoNorms team found that integrating AI into military systems has negatively affected the human role in decision-making over the use of force.
The project’s outputs include 1 monograph, more than 30 peer-reviewed articles, more than 11 book chapters, 2 special issues, and more.
Please note that this website will no longer be updated after July 2026. However, everything published during the project’s lifetime remains available.
Funding
This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No. 852123).
Integrating AI in weapon systems and decision support systems has substantively reduced the human role in decision-making over the use of force
Weaponised Artificial Intelligence, Norms, and Order
Weapon systems that integrate an increasing number of automated or autonomous features raise the question of whether humans will remain in direct, meaningful control of the use of force. Concerns relate, in particular, to weapon systems with autonomy in their critical functions – that is selecting, and engaging targets through sensors and algorithms without human input. Such autonomous features can take many different forms: we find them inter alia in loitering munitions, in aerial combat vehicles, in stationary sentries, in counter-drone systems, in air defence systems, in surface vehicles, and in ground vehicles. While diverse, these systems are captured by the catch-all category of autonomous weapons systems (AWS), because they weaponise Artificial Intelligence (AI).
Many states consider applying force without any human control as unacceptable. But there is less consensus about various complex forms of human-machine interaction along a spectrum of autonomy and the precise point(s) at which human control stops being meaningful. To illustrate, can human control that executes decisions based on indications it has received from a computer be considered meaningful, given that “blackboxed”, algorithmic processing is not accessible to human reasoning? Faced with these questions in the transnational debate at the UN Convention on Certain Conventional Weapons (CCW), states reach different conclusions: some states, supported by civil society organizations, advocate introducing new legal norms to prohibit so-called fully autonomous weapons, while other states leave the field of open in order to increase their room of manoeuvre.
As discussions drag on with little substantial progress, the operational trend towards including automated and autonomous features in weapon systems continues. A majority of the top 10 arms exporters such as the USA, China, and Russia, are developing or planning to develop some form of AWS. Such dynamics point to a potentially influential trajectory AWS may take towards changing what is appropriate when it comes to the use of autonomously applied force. Technologies have always shaped and altered warfare and therefore how force is used and perceived. Yet, the role that technology plays should not be conceived in deterministic terms. Rather, technology is ambivalent, making how it is used in international relations, and especially in warfare, a political question.
Learn more about AutoNorms
Read more about the project’s outputs, meet our team and explore our research themes.
Latest blogposts

Why Investigating Tech Startups in Algorithmic Warfare Matters
On 29 May 2025, the tech startup Anduril Industries and the Big Tech company Meta announced a privately funded collaboration to design and develop extended reality products integrating AI for the US military. This is just one recent example of private tech companies’ growing involvement in supplying the US government

Submission to the UN Secretary-General on AI DSS in the Military Domain
The following is the AutoNorms project’s submission pursuant to Resolution 79/239 on “Artificial intelligence in the military domain and its implications for international peace and security” adopted by the United Nations General Assembly on 24 December 2024. The resolution requests the UN Secretary-General to seek views, including those of Member

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