Evaluating the Role of Machine Learning in Defense Applications and Industry
Machine learning (ML) has become a critical technology in the defense sector, enabling the development of advanced systems for threat detection, decision making, and autonomous operations. However, the increasing ML use in defense systems has raised ethical concerns related to accountability, transp...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-10-01
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| Series: | Machine Learning and Knowledge Extraction |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2504-4990/5/4/78 |
| _version_ | 1797380266438688768 |
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| author | Evaldo Jorge Alcántara Suárez Victor Monzon Baeza |
| author_facet | Evaldo Jorge Alcántara Suárez Victor Monzon Baeza |
| author_sort | Evaldo Jorge Alcántara Suárez |
| collection | DOAJ |
| description | Machine learning (ML) has become a critical technology in the defense sector, enabling the development of advanced systems for threat detection, decision making, and autonomous operations. However, the increasing ML use in defense systems has raised ethical concerns related to accountability, transparency, and bias. In this paper, we provide a comprehensive analysis of the impact of ML on the defense sector, including the benefits and drawbacks of using ML in various applications such as surveillance, target identification, and autonomous weapons systems. We also discuss the ethical implications of using ML in defense, focusing on privacy, accountability, and bias issues. Finally, we present recommendations for mitigating these ethical concerns, including increased transparency, accountability, and stakeholder involvement in designing and deploying ML systems in the defense sector. |
| first_indexed | 2024-03-08T20:34:56Z |
| format | Article |
| id | doaj.art-842cb2e616ab417b83e83880f59c51b8 |
| institution | Directory Open Access Journal |
| issn | 2504-4990 |
| language | English |
| last_indexed | 2024-03-08T20:34:56Z |
| publishDate | 2023-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Machine Learning and Knowledge Extraction |
| spelling | doaj.art-842cb2e616ab417b83e83880f59c51b82023-12-22T14:22:10ZengMDPI AGMachine Learning and Knowledge Extraction2504-49902023-10-01541557156910.3390/make5040078Evaluating the Role of Machine Learning in Defense Applications and IndustryEvaldo Jorge Alcántara Suárez0Victor Monzon Baeza1Spanish Navy’s Engineering Corps, Technical Officer Scale, 35003 Las Palmas de Gran Canaria, SpainSIGCOM Group, Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg, L-1855 Luxembourg, LuxembourgMachine learning (ML) has become a critical technology in the defense sector, enabling the development of advanced systems for threat detection, decision making, and autonomous operations. However, the increasing ML use in defense systems has raised ethical concerns related to accountability, transparency, and bias. In this paper, we provide a comprehensive analysis of the impact of ML on the defense sector, including the benefits and drawbacks of using ML in various applications such as surveillance, target identification, and autonomous weapons systems. We also discuss the ethical implications of using ML in defense, focusing on privacy, accountability, and bias issues. Finally, we present recommendations for mitigating these ethical concerns, including increased transparency, accountability, and stakeholder involvement in designing and deploying ML systems in the defense sector.https://www.mdpi.com/2504-4990/5/4/78machine learningdefensemilitary tactical environmentsartificial intelligenceindustry |
| spellingShingle | Evaldo Jorge Alcántara Suárez Victor Monzon Baeza Evaluating the Role of Machine Learning in Defense Applications and Industry Machine Learning and Knowledge Extraction machine learning defense military tactical environments artificial intelligence industry |
| title | Evaluating the Role of Machine Learning in Defense Applications and Industry |
| title_full | Evaluating the Role of Machine Learning in Defense Applications and Industry |
| title_fullStr | Evaluating the Role of Machine Learning in Defense Applications and Industry |
| title_full_unstemmed | Evaluating the Role of Machine Learning in Defense Applications and Industry |
| title_short | Evaluating the Role of Machine Learning in Defense Applications and Industry |
| title_sort | evaluating the role of machine learning in defense applications and industry |
| topic | machine learning defense military tactical environments artificial intelligence industry |
| url | https://www.mdpi.com/2504-4990/5/4/78 |
| work_keys_str_mv | AT evaldojorgealcantarasuarez evaluatingtheroleofmachinelearningindefenseapplicationsandindustry AT victormonzonbaeza evaluatingtheroleofmachinelearningindefenseapplicationsandindustry |