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

AI in Military Decision Support Systems: A Review of Developments and Debates
Download the report here By Anna Nadibaidze, Ingvild Bode, and Qiaochu Zhang A new report published by the Center for War Studies at the University of Southern Denmark reviews developments and debates related to AI-based decision support systems (AI DSS) in military decision-making on the use of force. Written by

Navigating the Complexities of Exercising Human Agency in Human-Machine Interaction Across the AI Lifecycle
This blog is based on the breakout session titled “Responsible Human-Machine Teaming Across the AI Lifecycle: An Interactive Scenario”, co-organised by the AutoNorms project and Johns Hopkins University Applied Physics Laboratory (JHU APL) at the Responsible AI in the Military Domain (REAIM) Summit 2024 in Seoul, South Korea. You can

“Mission Impossible”? Talking Popular Culture at the REAIM 2024 Summit
The simultaneous release of the films Barbie and Oppenheimer on 21 July 2023 was a cultural phenomenon. “Barbenheimer”—as this event was popularly called—captured global attention. It also invited reflection on how the public comes to think about the politics of nuclear weapons and what role pop culture plays in this

The New AutoPractices Project: Toward Governing AI Technologies in Military Decision-Making from the Bottom Up
On 1 June 2024, the AutoNorms team started a new policy-oriented project called AutoPractices. The purpose of the AutoPractices project is to initiate and accompany a process of social innovation to govern autonomous and AI technologies (AIT) in the military domain from the bottom up. The project aims to do