Artificial Intelligence Fights Crime and Terrorism at a New Level

Ionescu, Bogdan; Ghenescu, Marian; Răstoceanu, Florin; Roman, Razvan; Buric, Marian

doi:10.1109/mmul.2020.2994403

Cited by 12 publications

(4 citation statements)

References 19 publications

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“…AI and big data are also applied to prevent or react to mass shootings and terror attacks (e.g. Staniforth and Akhgar, 2015;Rieland, 2018;Singer, 2022;Ionescu et al, 2020) or to model and predict flash floods (e.g. Costache and Tien Bui, 2019;Arabameri et al, 2020).…”

Section: Wildfiresmentioning

confidence: 99%

What does my technology facilitate`? A toolbox to help researchers understand the societal impact of a technology in the context of disasters

Kuratle,

Dallo,

Marti

et al. 2024

Seismica

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Disaster risk is increasing globally. Emerging technologies – Artificial Intelligence, Internet of Things, and remote sensing – are becoming more important in supporting disaster risk reduction and enhancing safety culture. Despite their presumed benefits, most research focuses on their technological potential, whereas societal aspects are rarely reflected. Taking a societal perspective is vital to ensure that these technologies are developed and operated in ways that benefit societies’ resilience, comply with ethical standards, are inclusive, and address potential risks and challenges. Therefore, we were particularly interested in understanding how societal impacts can be considered and leveraged throughout the development process. Based on an explorative literature review, we developed a toolbox for professionals working on emerging technologies in disaster risk reduction. By applying a Delphi study with experts on AI in seismology, we iteratively adapted and tested the toolbox. The results show that there is a need for guided reflection in order to foster discussion on the societal impacts. They further indicate a gap in the common understanding that is crucial for developing inclusive technologies or defining regulations. Our toolbox was found to be useful for professionals in reflecting on their developments and making technologies societally relevant, thereby enhancing societies’ resilience.

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Section: Wildfiresmentioning

confidence: 99%

What does my technology facilitate`? A toolbox to help researchers understand the societal impact of a technology in the context of disasters

Kuratle,

Dallo,

Marti

et al. 2024

Seismica

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“…For this issue, the riots have become the main threat worldwide. According to studies [1], at least one rebel attack occurs in more than 71 countries every year, causing an average of more than 33,000 deaths per year, as well as significant economic losses to countries and people. Counter-riot has become a major topic of study for scholars in most countries around the world.…”

Section: Introductionmentioning

confidence: 99%

A Novel Transfer Learning-Based Algorithm for Detecting Violence Images

2022

KSII TIIS

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Violence in the Internet era poses a new challenge to the current counter-riot work, and according to research and analysis, most of the violent incidents occurring are related to the dissemination of violence images. The use of the popular deep learning neural network to automatically analyze the massive amount of images on the Internet has become one of the important tools in the current counter-violence work. This paper focuses on the use of transfer learning techniques and the introduction of an attention mechanism to the residual network (ResNet) model for the classification and identification of violence images. Firstly, the feature elements of the violence images are identified and a targeted dataset is constructed; secondly, due to the small number of positive samples of violence images, pre-training and attention mechanisms are introduced to suggest improvements to the traditional residual network; finally, the improved model is trained and tested on the constructed dedicated dataset. The research results show that the improved network model can quickly and accurately identify violence images with an average accuracy rate of 92.20%, thus effectively reducing the cost of manual identification and providing decision support for combating rebel organization activities.

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“…Günümüz toplumuna yönelik tehditlerin başında terör olayları gelmektedir. Terör olaylarının insanlar için önemli bir tehdit olduğu bilinmekte ve engellemek için çeşitli çabalar sarf edilmektedir [1][2][3]. Bu sorunu çözmek için terör olaylarını anlamak veya nasıl gerçekleştirileceğini tahmin etmek üzerine [4][5] çeşitli disiplinlerde çalışılmaktadır [6][7][8][9].…”

Section: Introductionunclassified

Dinamit Destekli Terör Faaliyetlerinin Önlenmesi İçin Derin Öğrenme Temelli Güvenlik Destek Sistemi

Kaya¹,

Baran²,

Tuncer³

2021

European Journal of Science and Technology

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ÖzGünümüz toplumunda, insanları tehdit eden en önemli etmenlerden birisi terörizmdir. Terörizm bir toplumda, insanların düzen durumlarını bozarak, yaşam kalitesini etkilemektedir. Devletler ise terörle mücadele etmek için sürekli farklı yöntemler geliştirmektedir. Bu yöntemlerden birisi de terörle mücadele için makine öğrenmesinin bir alt alanı olan derin öğrenmenin kullanılmasıdır. Derin öğrenme, makine öğrenmesi alanında son yıllarda oldukça popülerlik kazanmıştır. Bu çalışmada, terör faaliyetlerini fark etmek ve önlemek için derin öğrenmeye dayalı VGG-16 mimarisi temel alınarak yeni bir model önerilmektedir. Önerilen model ile güvenlik kontrollerinde kullanılan kamera görüntülerinden alınan görüntülerde, insan ya da tren rayları üzerinde dinamit tespit edildiğinde, durumu hızla belirlemek ve uygun önlemleri almak için güvenlik görevlilerini uyaran bir sistem gerçekleştirilmiştir. Çalışmada kullanılan veri seti, internet ortamından indirilen dinamit resimleri düzenlenerek oluşturulmuştur. Önerilen modelin performansını değerlendirmek için, insan ya da tren rayları üzerinde bulunan dinamit resimleri test edilerek, %98,4'lük başarı doğruluğu ve 0,024 kayıp oranıyla dinamit görüntüleri tespit edilmektedir.

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Artificial Intelligence Fights Crime and Terrorism at a New Level

Cited by 12 publications

References 19 publications

What does my technology facilitate`? A toolbox to help researchers understand the societal impact of a technology in the context of disasters

What does my technology facilitate`? A toolbox to help researchers understand the societal impact of a technology in the context of disasters

A Novel Transfer Learning-Based Algorithm for Detecting Violence Images

Dinamit Destekli Terör Faaliyetlerinin Önlenmesi İçin Derin Öğrenme Temelli Güvenlik Destek Sistemi

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