The limits of robotic solutions to human challenges in the land domain
Bibliographic Data
| ID | 12699790 |
|---|---|
| Authors | Jai Galliott (0000-0002-3810-1232, The Australian Defence Force Academy, Campbell, Australia, corresponding author) |
| Year | 2017 |
| Volume | 17 |
| Issue | 4 |
| Pages | 327-345 |
| Publication date | 2017-06-06 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Defence Studies (JOURNAL) |
| Journal identifiers | ISSN: 1470-2436 • E-ISSN: 1743-9698 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/14702436.2017.1333890 |
| OpenAlex | W2621579754 |
| Language | EN |
| Citations received | 2 |
| References cited | 12 |
In the face of rapid technological change and the creation of ambitious military modernisation programmes, this paper argues that land forces, in managing the relationship between force levels and the adoption of military robotics, must recognise that there are inherent limits to techno-centric force reduction efforts and realise the inefficacy of substituting skilled soldiers with robots. It begins with an overview of how the proper integration of robotics into a military’s force structure can improve capability, save lives and potentially reduce costs, but suggests that common accounts of robot utility are exaggerated and endanger the risk assessment processes governing the adoption of said technologies and relevant personnel settings. The paper explores the limits of robotic solutions to military problems, discussing their technical limitations, redundancy and related issues that, when combined with a technico-moral skills degradation problem also detailed within, point to the need to reshape force structures to suit the adoption of robotics while preserving existing levels of human staffing
Business · Computer security · Domain (mathematical analysis · Engineering ethics · Face (sociological concept · Modernization theory · Political science · Redundancy (engineering · Risk analysis (engineering · Robot · Robotics · Sociology · Computer Science · Engineering · Ethics and Social Impacts of AI · Law · Mathematics · Neuroethics, Human Enhancement, Biomedical Innovations · Artificial Intelligence
| Citations per year | 1 |
|---|---|
| Citation span | 2024 - 2025 (2) |
| Highly cited | No |