The Impact of Autonomous Technologies on the Enforcement of International Humanitarian Law
The rapid advancement of autonomous technologies is reshaping the landscape of warfare and the enforcement of humanitarian law. This paper explores the dual-edged impact of autonomous technologies such as artificial intelligence (AI), drones, autonomous weapons systems, cyber warfare, and surveillance tools on international humanitarian law (IHL). These technologies present both significant opportunities and serious challenges for enforcing IHL. On one hand, autonomous technologies improve enforcement by providing advanced tools for monitoring and reporting violations. AI and satellite imagery facilitate more accurate and timely data collection, which is vital for documenting IHL breaches. Precision targeting systems and autonomous drones have the potential to reduce collateral damage and civilian casualties by allowing for more precise military operations. Additionally, advancements in logistics and communication technologies enhance the efficiency of humanitarian aid delivery. On the other hand, integrating these technologies raises critical ethical, legal, and practical concerns. The deployment of autonomous weapons systems and AI in decision-making processes introduces accountability issues and risks unintended consequences. Cyberwarfare vulnerabilities can disrupt essential services, exacerbating humanitarian crises. Moreover, the use of surveillance technologies threatens privacy and human rights, complicating efforts to uphold humanitarian principles such as distinction, proportionality, and necessity. This paper combines qualitative analysis of case studies and a review of current regulatory frameworks to explore the benefits and challenges of autonomous technologies in humanitarian law enforcement. It calls for robust regulation and international cooperation to ensure responsible technological use while safeguarding core humanitarian principles.
Institutions
- Dhaka International University (BD)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-03-16
- DOI
- https://doi.org/10.5281/zenodo.15036169
- Primary Topic
- Ethics and Social Impacts of AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00