A Risk-Based Regulatory Approach To Autonomous Weapon Systems

Journal article

International regulation of autonomous weapon systems (AWS) is increasingly conceived as an exercise in risk management. This requires a shared approach for assessing the risks of AWS. This paper presents a structured approach to risk assessment and regulation for AWS, adapting a qualitative framework inspired by the Intergovernmental Panel on Climate Change (IPCC). It examines the interactions among key risk factors—determinants, drivers, and types—to evaluate the risk magnitude of AWS and establish risk tolerance thresholds through a risk matrix informed by background knowledge of event likelihood and severity. Further, it proposes a methodology to assess community risk appetite, emphasising that such assessments and resulting tolerance levels should be determined through deliberation in a multistakeholder forum. The paper highlights the complexities of applying risk-based regulations to AWS internationally, particularly the challenge of defining a global community for risk assessment and regulatory legitimisation.

Authors: Blanchard, A; Novelli, C; Floridi, L; Taddeo, M

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: Springer
• Journal: Digital Society
• Volume: 4
• Issue: 1
• Article number: 23
• Publication date: 2025-04-03
• Acceptance date: 2025-03-12
• DOI: 10.1007/s44206-025-00181-y
• EISSN: 2731-4669
• ISSN: 2731-4650
• Language: English
• Keywords: Artificial intelligence; Governance; Predictability problem; Autonomous weapons systems; Risk threshold; Regulation