Herwin Meerveld
Biographic Data
| ID | 4425767 |
|---|---|
| NAME | Herwin Meerveld |
| GIVEN NAMES | Herwin |
| FAMILY NAME | Meerveld |
| SIGNATURE | MEERVELD H |
| AFFILIATIONS | Netherlands Defence Academy |
| ORCID | 0000-0003-0064-6293 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Operationalising responsible AI in the military domain
Rapid integration of Artificial Intelligence (AI) into the military domain necessitates actionable strategies for translating high-level principles of responsible use into practical guidelines. However, there remains a problematic gap between these principles and the norms that govern the use of AI in military operations. Moreover, these norms are highly dependent on the particular context in which military AI is deployed. This leads to normative…
Data Science in Military Decision-Making
In contemporary warfare, data science is crucial for the military in achieving information superiority. To gain an overview of the topic, 158 peer-reviewed articles were analysed through a semi-systematic literature review. The proportion of social science literature with a focus on risks of data science implies that policymakers are disproportionally influenced by a pessimistic view on military data science. The perceived risks of data science, …
The irresponsibility of not using AI in the military
The ongoing debate on the ethics of using artificial intelligence (AI) in military contexts has been negatively impacted by the predominant focus on the use of lethal autonomous weapon systems (LAWS) in war. However, AI technologies have a considerably broader scope and present opportunities for decision support optimization across the entire spectrum of the military decision-making process (MDMP). These opportunities cannot be ignored. Instead o…
Data Science in Military Decision-Making
In contemporary warfare, data science is crucial for the military in achieving information superiority. To gain an overview of the topic, 158 peer-reviewed articles were analysed through a semi-systematic literature review. The proportion of social science literature with a focus on risks of data science implies that policymakers are disproportionally influenced by a pessimistic view on military data science. The perceived risks of data science, …
The irresponsibility of not using AI in the military
The ongoing debate on the ethics of using artificial intelligence (AI) in military contexts has been negatively impacted by the predominant focus on the use of lethal autonomous weapon systems (LAWS) in war. However, AI technologies have a considerably broader scope and present opportunities for decision support optimization across the entire spectrum of the military decision-making process (MDMP). These opportunities cannot be ignored. Instead o…
Data Science in Military Decision-Making
In contemporary warfare, data science is crucial for the military in achieving information superiority. To gain an overview of the topic, 158 peer-reviewed articles were analysed through a semi-systematic literature review. The proportion of social science literature with a focus on risks of data science implies that policymakers are disproportionally influenced by a pessimistic view on military data science. The perceived risks of data science, …
Operationalising responsible AI in the military domain
Rapid integration of Artificial Intelligence (AI) into the military domain necessitates actionable strategies for translating high-level principles of responsible use into practical guidelines. However, there remains a problematic gap between these principles and the norms that govern the use of AI in military operations. Moreover, these norms are highly dependent on the particular context in which military AI is deployed. This leads to normative…
Adversarial Robustness in Machine Learning (2 works) · Engineering (2 works) · Engineering ethics (2 works) · Ethics and Social Impacts of AI (2 works) · Political science (2 works) · Sociology (2 works) · Artificial Intelligence (1 work) · Big Data and Business Intelligence (1 work) · Big Data Technologies and Applications (1 work) · Computer Science (1 work)