Is wearing these sunglasses an attack? Obligations under IHL related to anti-AI countermeasures
Bibliographic Data
| ID | 12852247 |
|---|---|
| Authors | Jonathan Kwik (0000-0003-0367-5655, Asser Institute, corresponding author) |
| Year | 2024 |
| Volume | 106 |
| Issue | 926 |
| Pages | 732-759 |
| Publication date | 2024-03-20 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Review of the Red Cross (JOURNAL) |
| Journal identifiers | ISSN: 1607-5889 • E-ISSN: 1816-3831 |
| Publisher | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.1017/s1816383124000067 |
| OpenAlex | W4393008445 |
| Language | EN |
| Citations received | 1 |
| References cited | 8 |
As usage of military artificial intelligence (AI) expands, so will anti-AI countermeasures, known as adversarials. International humanitarian law offers many protections through its obligations in attack, but the nature of adversarials generates ambiguity regarding which party (system user or opponent) should incur attacker responsibilities. This article offers a cognitive framework for legally analyzing adversarials. It explores the technical, tactical and legal dimensions of adversarials, and proposes a model based on foreseeable harm to determine when legal responsibility should transfer to the countermeasure's author. The article provides illumination to the future combatant who ponders, before putting on their adversarial sunglasses: “Am I conducting an attack?”
Computer security · Adversarial Robustness in Machine Learning · Computer Science
| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2025 - 2025 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |