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estudos internacionais • Belo Horizonte, ISSN 2317-773X, v. 12, n. 3, (dez. 2024), p. 74-92
AI-Enhanced Counterterrorism: Predicting
Threats for a Safer World
Inteligência Artificial: Previsão e Contraterrorismo
Inteligencia artificial: predicción y contraterrorismo
Issam Iyrot1
Raid Nairat2
Enviado em: 21 de agosto de 2023
Aceito em: 05 de junho de 2025
ABSTRACT
The use of AI in combating extremism has gained signicant attention in recent
years due to its potential to improve eciency and accuracy in identifying ter-
rorist activities. This research paper aims to explore the key concepts associated
with utilizing AI to combat extremism, including its various types and develop-
ments. Additionally, it will examine how AI can be used to combat terrorist acts
in cyberspace. Furthermore, the paper will analyze the most prominent govern-
ment strategies and experiences in utilizing AI to confront extremism, highli-
ghting their successes and shortcomings. It will also explore the challenges and
opportunities that countries face in adopting AI-based approaches to counter ex-
tremism, including ethical concerns, data privacy, and technical limitations. To
achieve these goals, this research paper will use an analytical method to analyze
the current state of knowledge regarding the use of AI to combat extremism.
Relevant articles will be identied through a comprehensive search of academic
databases and other reputable sources. The articles will be screened and assessed
for eligibility based on pre-dened criteria. Data will be extracted and synthesi-
zed, and a narrative synthesis will be used to present the ndings. The paper will
also draw on case studies of government strategies and experiences in utilizing
AI to combat extremism. Finally, recommendations for policymakers and practi-
tioners will be developed based on the synthesis of the ndings.
Keywords: articial intelligence, terrorism, Counterterrorism, Extremism.
RESUMO
O uso de IA no combate ao extremismo ganhou atenção signicativa nos
últimos anos devido ao seu potencial para melhorar a eciência e precisão na
identicação de atividades terroristas. Este trabalho de pesquisa visa explorar os
conceitos mais importantes associados ao uso de IA para combater o extremis-
mo, incluindo seus tipos e desenvolvimentos. Além disso, examinará as manei-
ras pelas quais a IA pode ser usada para combater atos terroristas no ciberespa-
ço. Além disso, o artigo analisará as estratégias e experiências governamentais
mais proeminentes na utilização da IA para enfrentar o extremismo, destacando
seus sucessos e deciências. Também explorará os desaos e oportunidades
que os países enfrentam ao adotar abordagens baseadas em IA para combater
o extremismo, incluindo preocupações éticas, privacidade de dados e limita-
1. Nablus University for Vocational and
Technical Education, Palestine
2. An-Najah National University,
Palestine
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Issam Iyrot, Raid Nairat AI-Enhanced Counterterrorism: Predicng Threats for a Safer World
ções técnicas. Para atingir esses objetivos, este trabalho de pesquisa usará um
método analítico para analisar o estado atual do conhecimento sobre o uso da
IA para combater o extremismo. Artigos relevantes serão identicados por meio
de uma pesquisa abrangente de bancos de dados acadêmicos e outras fontes
respeitáveis. Os artigos serão selecionados e avaliados para elegibilidade com
base em critérios pré-denidos. Os dados serão extraídos e sintetizados, e uma
síntese narrativa será usada para apresentar os resultados. O documento tam-
bém se baseará em estudos de caso de estratégias e experiências governamentais
na utilização de IA para combater o extremismo. Finalmente, recomendações
para formuladores de políticas e prossionais serão desenvolvidas com base na
síntese dos resultados.
Palavras-chave: inteligência articial, terrorismo, Contraterrorismo,Extremismo.
RESUMEN
El uso de la IA para combatir el extremismo ha ganado una atención signicati-
va en los últimos años debido a su potencial para mejorar la eciencia y la preci-
sión en la identicación de actividades terroristas. Este trabajo de investigación
tiene como objetivo explorar los conceptos más importantes asociados con el
uso de la IA para combatir el extremismo, incluidos sus tipos y desarrollos. Ade-
más, examinará las formas en que se puede utilizar la IA para combatir los actos
terroristas en el ciberespacio. Además, el documento analizará las estrategias y
experiencias gubernamentales más destacadas en el uso de IA para enfrentar el
extremismo, destacando sus éxitos y deciencias. También explorará los desafíos
y oportunidades que enfrentan los países al adoptar enfoques basados en IA para
contrarrestar el extremismo, incluidas las preocupaciones éticas, la privacidad
de los datos y las limitaciones técnicas. Para lograr estos objetivos, este trabajo
de investigación utilizará un método analítico para analizar el estado actual del
conocimiento sobre el uso de la IA para combatir el extremismo. Los artículos
relevantes se identicarán a través de una búsqueda exhaustiva de bases de
datos académicas y otras fuentes acreditadas. Los artículos serán examinados y
evaluados para determinar su elegibilidad en función de criterios predenidos.
Se extraerán y sintetizarán los datos, y se utilizará una síntesis narrativa para
presentar los hallazgos. El documento también se basará en estudios de casos
de estrategias gubernamentales y experiencias en el uso de IA para combatir el
extremismo. Finalmente, se desarrollarán recomendaciones para formuladores
de políticas y profesionales en base a la síntesis de los hallazgos.
Palabras clave: inteligencia articial, terrorismo, contraterrorismo, extremismo.
1 PROBLEM STATEMENT
Terrorism has become an ever-growing global threat, and govern-
ments worldwide are searching for new ways to detect and prevent ter-
rorist activities. The emergence of articial intelligence (AI) has opened
a new realm of possibilities in counterterrorism eorts. AI systems have
shown the ability to analyze vast amounts of data, recognize patterns,
and predict potential threats in ways that were once impossible for hu-
mans. By analyzing data from sources such as social media, travel re-
cords, and nancial transactions, AI can identify behaviors that may be
indicative of terrorist activity and alert authorities to investigate further.
However, the use of AI in counterterrorism is not without its challen-
ges. One signicant concern is privacy and civil liberties. Collecting and
analyzing large amounts of personal data could potentially infringe upon
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the privacy of individuals. Additionally, there is the risk of biases and er-
rors in the algorithms used in AI systems, which could lead to false ac-
cusations and discrimination against certain groups. Therefore, any use
of AI in counterterrorism must be transparent, accountable, and operate
within ethical and legal frameworks. Consequently, the primary focus of
this research is on the following question: What are the benets and chal-
lenges of using articial intelligence in counterterrorism eorts, and how can
these challenges be mitigated while maintaining transparency, accountability,
and ethical and legal frameworks?
2 METHODOLOGY
This article aims to perform an extensive review of the literature
on the utilization of AI in combating extremism and terrorism, examine
government strategies and experiences with using AI to counter extre-
mism, explore the opportunities and challenges that come with adopting
AI-based approaches, and formulate recommendations for policymakers
and practitioners.
The article employs an analytical methodology to examine AI in
counterterrorism, government strategies, and its impact on civil liberties.
It oers guidance on addressing challenges, capitalizing on opportuni-
ties, and best practices for AI in counterterrorism. The goal is a com-
prehensive analysis of AI’s role in combating extremism and its impact
on counterterrorism.
3 INTRODUCTION
Global terrorism, driven by extremist ideologies on social media,
combines violence and psychological warfare, posing a signicant global
challenge. Articial intelligence (AI) plays a vital role in combating terro-
rism by shaping human behavior and analyzing data. AI customizes mes-
sages and monitors human behavior through algorithms, but challenges
like privacy concerns, algorithmic biases, and staying ahead of terrorists
persist. Successful AI use, like the United States’ Project Maven, show-
cases the potential. The key lies in eectively addressing challenges and
leveraging AI’s rapid, unbiased data analysis to counteract terrorism and
extremism.
Nevertheless, the use of AI in this context is not without its chal-
lenges. Privacy concerns, algorithmic biases, and the potential for errors
pose signicant hurdles. Staying ahead of adaptive terrorists and safe-
guarding data security are additional challenges. Despite these obstacles,
there are promising opportunities to leverage AI’s ability to swiftly and
accurately analyze vast data, reducing the risk of human error and biases
in identifying potential threats.
In conclusion, AI oers a potent tool in the global ght against
terrorism and extremism. Direct and indirect applications enable the in-
uence of individuals and tracking of behavior, with opportunities for
early detection. However, the responsible and ethical use of AI is para-
mount, requiring clear guidelines and regulations to mitigate misuse.
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Issam Iyrot, Raid Nairat AI-Enhanced Counterterrorism: Predicng Threats for a Safer World
With careful consideration and responsible implementation, AI can be a
powerful asset in the battle against terrorism and extremism.
4 LITERATURE REVIEW
The study “Articial Intelligence in Counterterrorism: A Review of
Current Applications and Future Prospects” (2020) by Tariq, Bhatti, and
Ahmad examines how the US, UK, and Israel use AI to combat terrorism.
It analyzes AI’s ability to process vast data, including social media, for
threat detection. The study stresses the ethical and technical challenges
while highlighting AI’s potential in counterterrorism. The authors also
discuss prospects, including advanced machine learning and AI integra-
tion with drones and autonomous systems.
Dandachi et al.s (2021) study examines governments’ use of AI to
combat terrorism, focusing on the US government’s experience. It un-
derscores AI’s potential in identifying threats while highlighting challen-
ges like bias and privacy concerns. Cooperation and data sharing among
agencies are crucial for AI’s eectiveness in counterterrorism. The study
oers insights into AI’s role in counterterrorism, emphasizing the impor-
tance of ongoing research and development.
Thiemann et al. (2018) investigated the use of articial intelligence
by the French government to identify and track terrorist networks. The
study highlighted the potential benets of using AI in counterterrorism,
such as the ability to analyze large amounts of data and identify potential
threats. It also identied some of the challenges associated with imple-
menting AI in this context, such as the need for data sharing and coopera-
tion among dierent agencies. The authors concluded that while AI has
the potential to improve counterterrorism eorts, it should be used in
conjunction with other approaches, and proper safeguards should be put
in place to ensure privacy and ethical concerns are addressed.
Kaunert and Leonard (2020) explored AI’s utility in counterterro-
rism. They discussed its potential in analyzing data to detect and pre-
vent terrorist threats. Ethical and legal concerns, including data privacy
and algorithm bias, were highlighted. Eective implementation requi-
res collaboration and data sharing among agencies. The study empha-
sized the importance of balancing technical and ethical considerations.
Human oversight, data quality, and sharing were stressed for ethical AI
decision-making. Overall, the paper oered insights into AI’s benets
and challenges in counterterrorism, underscoring the signicance of a
balanced approach that considers both technical and ethical factors in
implementation.
In conclusion, the literature reveals that articial intelligence (AI)
shows potential for enhancing counterterrorism through data analysis
but raises ethical, misuse, and technical concerns. Preemptive threat de-
tection via social media analysis is crucial. Transparency, accountability,
and addressing technical limitations are key. Collaboration and research
are vital for ethical and ecient AI use in counterterrorism.
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5 AI IN COUNTERTERRORISM
The rise of terrorism and extremism in the modern world is a signi-
cant challenge that governments and organizations face. The use of so-
cial media platforms by terrorist organizations and extremist groups has
made it easier for them to spread their messages, recruit new members,
and plan attacks. In response to this threat, the use of articial intelligen-
ce has become an increasingly important tool in the ght against terro-
rism and extremism. This essay will explore how articial intelligence
is used in combating terrorism and extremism, including data tracking,
analysis, predicting events, and directing media campaigns.
The use of social media platforms by terrorist organizations and
extremist groups has made it easier for them to spread their messages,
recruit new members, and plan attacks. Governments and organizations
are facing a signicant challenge in combating terrorism and extremism
in the modern world. To address this issue, articial intelligence (AI) has
become an increasingly important tool in the ght against terrorism and
extremism. This essay explores how AI is used in combating terrorism
and extremism, including data tracking, analysis, predicting events, and
directing media campaigns. (Cheng, 2021) AI is used to monitor and track
online activities related to terrorism and extremism. This includes trac-
king social media platforms, websites, and other online forums that are
used by extremist groups to communicate and spread their messages.
Using advanced algorithms, AI systems can sift through vast amounts
of data quickly and eciently to identify patterns, keywords, and other
indicators of potential terrorist activity. Once data has been collected, AI
is used to analyze it and identify potential threats. AI systems can iden-
tify patterns and connections that may not be immediately apparent to
human analysts. (Chen D. &., 2021).
AI is also used to predict potential terrorist events. By analyzing so-
cial media activity, AI can identify patterns that suggest a potential attack
is being planned. Additionally, AI can be used to predict the likelihood
of future attacks based on historical data and current trends. This allo-
ws organizations to prepare for potential threats and allocate resources
more eectively. AI is also used to direct media campaigns aimed at cou-
ntering the propaganda of terrorist organizations and extremist groups.
Through the use of AI, media campaigns can be customized and targe-
ted to specic individuals and groups. This allows organizations to tailor
their messaging to specic audiences, making it more eective in coun-
tering extremist propaganda. Additionally, AI can be used to track the
eectiveness of media campaigns and adjust them as needed to ensure
maximum impact. (Dantcheva, 2018)
While the use of AI in combating terrorism and extremism is pro-
mising, there are also challenges and opportunities that must be con-
sidered. One of the primary challenges is the need to balance privacy
concerns with the need for eective monitoring and tracking of potential
threats. Additionally, AI systems are not infallible, and there is always
the risk of false positives or incorrect predictions. However, there are
also signicant opportunities for the use of AI in combating terrorism
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and extremism. The ability to collect and analyze vast amounts of data
quickly and eciently is a signicant advantage in the ght against ter-
rorism. Additionally, the ability to predict potential attacks and direct
media campaigns more eectively can help prevent future attacks and
reduce the inuence of extremist groups. (Dixon, 2020)
In conclusion, the use of articial intelligence in combating terro-
rism and extremism is an important tool for governments and organiza-
tions. While there are challenges and risks associated with the use of AI
in this context, the opportunities for eective monitoring and prevention
of terrorist activity are signicant. The use of AI in combating terrorism
and extremism will likely continue to be an important tool in the ght
against terrorism.
6 AI USAGE: TERRORIST GROUPS VS STATES/GOVERNMENTS
Articial intelligence (AI) has become a crucial tool in combating
terrorism and extremism. It can help governments and security agencies
detect, track, and prevent terrorist attacks, and analyze data to predict
potential threats. However, AI is not just limited to use by states and go-
vernments. Terrorist groups have also started using AI to carry out their
attacks and evade detection. (Mahmood, 2021) This essay explores the
dierences between the use of AI by terrorist groups and its use by states
and governments.
Terrorist groups have increasingly been using AI to plan and exe-
cute their attacks. They use AI algorithms to identify potential targets,
evade surveillance and detection, and analyze the data to plan their next
attack. For example, ISIS has used AI to track and monitor their targets
on social media, carry out phishing attacks, and create fake social me-
dia accounts to spread propaganda and recruit new members. Terrorist
groups have also used AI to create deep fake videos, which are videos that
are created using AI to manipulate real footage, to spread disinformation
and propaganda. (Hamilton, 2019)
On the other hand, States and governments employ AI for cou-
nter-terrorism eorts, monitoring extensive data, including social
media, to detect and prevent threats. AI algorithms analyze data
for patterns and anomalies, preempting potential dangers. The US
Department of Homeland Security employs AI through the National
Vetting Center to screen visa applicants for security risks. AI also aids
in media campaigns, crafting targeted messages to counter terrorist
propaganda, reaching broader audiences, and enhancing eectiveness.
(Johnson, 2020)
AI usage diers signicantly between terrorist groups and govern-
ments. Terrorists employ AI for malicious purposes, aiming to carry out
attacks and spread extremist propaganda. In contrast, states and gover-
nments use AI defensively to prevent attacks and protect their citizens,
prioritizing safety and security. Resource disparities exist between the
two. (Joe, 2020) Terrorist groups often have limited resources and ex-
pertise in AI, which means their use of AI is often crude and unsophis-
ticated. In contrast, states and governments have access to advanced AI
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technologies and resources, which enables them to develop more advan-
ced and sophisticated AI systems to combat terrorism and extremism.
In conclusion, the use of AI in combating terrorism and extremism
is a crucial tool in the ght against terrorism. However, there are signi-
cant dierences between the use of AI by terrorist groups and its use
by states and governments. Terrorist groups use AI to carry out attacks
and spread propaganda, while states and governments use AI to prevent
attacks and protect their citizens. The intent and resources available to
each party play a signicant role in the eectiveness of their use of AI. As
AI continues to evolve and become more advanced, it is critical that states
and governments continue to develop and improve their AI systems to
stay ahead of the evolving threat posed by terrorist groups.
7 ETHICAL ISSUES AND POTENTIAL RISKS OF THE MISUSE OF AI
AI is valuable for governments and law enforcement in counterter-
rorism, but ethical challenges and risks exist. This article examines these
issues, including privacy, accountability, and transparency concerns, in
AI’s use against terrorism and extremism. (Farahmand, 2020). For exam-
ple, the use of AI for data tracking and analysis raises concerns about pri-
vacy violations, particularly when the data being collected is personal and
sensitive. There is also a risk of bias in data analysis, particularly when the
algorithms used are not transparent or properly vetted. This can result in
discriminatory practices, which could be counterproductive to the goal
of combating terrorism and extremism.
Another challenge facing the use of AI in combating terrorism
and extremism is the potential for misuse. AI is a powerful technology
that can be used for good or evil. Terrorist groups and other malicious
actors may attempt to use AI to further their goals. For example, they
may use AI to create and disseminate extremist propaganda or to plan
and carry out attacks. Governments must be vigilant in their use of AI
to ensure that the technology is not misused by those who seek harm.
Additionally, there are technical challenges associated with the use of AI
in combating terrorism and extremism. One of the biggest challenges
is the sheer amount of data that needs to be analyzed. AI systems must
be able to process vast amounts of data quickly and accurately to be ef-
fective. This requires signicant computing power and specialized algo-
rithms (Natarajan, 2021). Governments and law enforcement agencies
must invest in the necessary infrastructure to support the use of AI in
combating terrorism and extremism.
There are also legal challenges associated with the use of AI in
combating terrorism and extremism. For example, there are questions
about the legality of using AI to monitor and analyze social media data.
Governments and law enforcement agencies must navigate complex legal
frameworks to ensure that their use of AI is lawful and does not infringe
on individual rights and freedoms. Another challenge is the potential for
unintended consequences. AI systems are only as good as the data they
are trained on. If the data is biased or incomplete, the AI system may pro-
duce inaccurate or discriminatory results. This could lead to unintended
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Issam Iyrot, Raid Nairat AI-Enhanced Counterterrorism: Predicng Threats for a Safer World
consequences such as false arrests or discrimination against certain
groups. (Choudhury, 2021). Governments and law enforcement agencies
must be aware of these risks and take steps to mitigate them.
Finally, there is a challenge of public perception. The use of AI in
combating terrorism and extremism may be perceived by some as a vio-
lation of privacy or civil liberties. Governments and law enforcement
agencies must be transparent about their use of AI and communicate the
benets of the technology in combating terrorism and extremism.
In conclusion, the use of AI in combating terrorism and extremism
is not without its challenges. Ethical concerns, potential for misuse, te-
chnical challenges, legal challenges, unintended consequences, and pu-
blic perception are all challenges that must be addressed. Governments
and law enforcement agencies must approach the use of AI in combating
terrorism and extremism with caution and ensure that the technology
is used ethically and lawfully. Only then can the benets of AI be fully
realized in the ght against terrorism and extremism.
Recent developments in AI have introduced the concept of explai-
nable AI (XAI), which aims to address the transparency and accountabi-
lity concerns associated with AI. XAI allows humans to understand how
AI systems arrive at their decisions and recommendations, increasing
transparency and enabling better oversight. This could potentially ad-
dress some of the ethical concerns related to the use of AI in combating
terrorism and extremism. Additionally, recent research has shown that
AI algorithms can perpetuate and amplify biases present in the data they
are trained on. To address this issue, researchers are exploring ways to
develop algorithms that can identify and mitigate biases in data, such
as using diverse data sets and increasing transparency in the algorithms
decision-making process. (Aha, 2019)
Explainable Articial Intelligence (XAI) is an emerging eld that
aims to create AI systems that are transparent, interpretable, and ex-
plainable. XAI is particularly relevant in the context of the use of AI in
combating terrorism and extremism, where there are concerns about the
potential for bias and discrimination in the decision-making process. XAI
seeks to address these concerns by making the decision-making process
of AI systems more transparent and interpretable. One of the key challen-
ges in developing XAI systems is the trade-o between explainability and
accuracy. Highly accurate AI systems may use complex algorithms that
are dicult to understand and interpret. However, if the goal is to build
an explainable AI system, then simpler algorithms may need to be used,
which could compromise accuracy. This trade-o needs to be carefully
considered when designing XAI systems. (Shan & Zhang, 2020)
Another challenge in developing XAI systems is to ensure that the
explanations provided are meaningful and relevant to the end-users. For
example, if an AI system identies a particular individual as a potential
terrorist, the explanation provided by the system must be clear and conci-
se and based on relevant information. If the explanation is too technical or
dicult to understand, it may not be useful to the end-user. Despite these
challenges, XAI is an important area of research and development in AI.
XAI has the potential to improve the accountability and transparency of
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AI systems, which is particularly important in sensitive domains such as
combating terrorism and extremism. (Lieberman, 2020) As such, there
is a need for continued investment in XAI research and development to
ensure that AI systems are not only accurate but also transparent and
interpretable.
However, while these approaches show promise, they also present
new challenges. For instance, the use of NLP-based explanations requires
large amounts of high-quality training data to ensure the language used
is appropriate and eective. Meanwhile, interactive XAI requires desig-
ning eective user interfaces that are intuitive and easy to use. Despite
the challenges, the development of XAI is crucial for addressing ethical
concerns associated with the use of AI, including transparency, accoun-
tability, and bias. As such, continued research and development in XAI
are necessary to ensure that AI systems are not only eective but also
trustworthy and understandable to end-users (Bansal, 2021).
8 AI’S OPPORTUNITIES IN COUNTERTERRORISM
Articial intelligence (AI) oers many opportunities for combating
terrorism and extremism, as it can be used to detect and prevent suspi-
cious activities, facilitate cooperation and exchange of information bet-
ween stakeholders, and support decision-making. In this article, we will
explore some of the key opportunities that AI oers in the ght against
terrorism and extremism.
One of the main advantages of AI is its ability to analyze vast
amounts of data quickly and accurately. This is particularly useful in the
context of counterterrorism, where data from a wide range of sources
needs to be analyzed to identify potential threats. By using advanced al-
gorithms, AI can analyze large datasets from social media, news outlets,
and other sources to identify patterns, trends, and anomalies that may
indicate the presence of terrorist activity (Chen, 2017). Another key be-
net of AI is its ability to support decision-making. In the ght against
terrorism and extremism, decisions often need to be made quickly and
with limited information. By using machine learning algorithms, AI can
help decision-makers identify potential threats, prioritize responses, and
allocate resources more eectively (Zenasn, 2021).
In addition, AI facilitates information sharing and collaboration
among stakeholders, which is vital in countering terrorism and extre-
mism. AI-powered platforms enable more eective cooperation, leading
to a coordinated response to threats. Yet, there are challenges to address
safe and ethical AI use in this context. One major challenge is the po-
tential misuse of AI by terrorist groups or state actors, involving pro-
paganda dissemination, public opinion manipulation, and cyberattacks.
(Stillman, 2019)
Moreover, ethical considerations in AI for counterterrorism are
crucial. Biased algorithms may result in discriminatory practices, like ra-
cial proling. Privacy and civil liberties infringement is also a concern,
especially when monitoring non-suspects. Addressing these challenges
necessitates establishing clear guidelines and regulations for AI usage
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in combating terrorism and extremism. This should encompass ethical
AI use, transparency, and accountability measures in AI system develo-
pment and deployment. (Rida, 2020). It is also important to ensure that
the use of AI is subject to appropriate oversight and regulation, to prevent
misuse or abuse.
In conclusion, AI oers many opportunities for combating terro-
rism and extremism, including the detection of suspicious activities, coo-
peration and exchange of information between stakeholders, and support
for decision-making. However, there are also signicant challenges that
need to be addressed, including the potential for misuse of AI and ethical
issues related to its use. By developing clear guidelines and regulations
for the use of AI, it is possible to maximize the benets of this technology
while minimizing its risks.
9 PRATICAL AI APPLICATIONS IN COUNTERTERRORISM BY
GOVERNMENTS
Articial intelligence (AI) is an increasingly important tool in the
ght against terrorism and extremism. While many countries around the
world are using AI in various ways to combat these threats, information
on their use of AI in counterterrorism is often limited or not publicly
disclosed due to security concerns. Nonetheless, there are several coun-
tries that have publicly acknowledged their use of AI in counterterrorism
and have gained experience in implementing AI applications to monitor,
track, and prevent terrorist activity. In this article, we will explore some of
these countries and their experiences with using AI in counterterrorism.
The use of articial intelligence (AI) in combating terrorism
and extremism has become increasingly important in recent years.
Governments around the world have recognized the potential of AI in
identifying threats, tracking suspects, and preventing attacks. In this ar-
ticle, we will examine the experiences of some governments in using AI
to combat terrorism and extremism and the results they have achieved.
One country that has been at the forefront of using AI in combating
terrorism and extremism is the United States. The U.S. government has
been investing heavily in AI technologies to improve intelligence gathe-
ring and analysis capabilities. The Department of Defense has been using
AI to process large amounts of data, identify patterns, and detect anoma-
lies that may indicate terrorist activities. The National Security Agency
(NSA) has also been using AI to monitor internet trac and identify po-
tential threats. The results have been signicant, with the U.S. govern-
ment reporting that AI has helped prevent numerous terrorist attacks.
(Ford, 2021)
The United States has been a leader in the ght against terrorism
for decades. In recent years, it has harnessed the power of articial intelli-
gence (AI) to enhance its counterterrorism eorts. The U.S. government
has invested signicantly in AI research, especially in defense and natio-
nal security. AI is crucial in collecting and analyzing extensive data, in-
cluding social media, nancial transactions, and travel records. Through
AI algorithms, the government identies potential threats and monitors
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known terrorists’ movements, strengthening its counterterrorism mea-
sures. (Articial Intelligence Strategy Summary, 2020)
In addition to data analysis, the US is also using AI to develop pre-
dictive models that can help identify potential terrorist threats before
they occur. For example, the Department of Homeland Security has de-
veloped an AI-powered system called the Automated Targeting System,
which uses machine learning algorithms to identify potential threats
among travelers entering the US. The US government is also using AI to
improve its communication and collaboration with international partners
in the ght against terrorism. Through the use of AI-powered translation
tools and communication platforms (Smith, 2022) government agencies
can share information more eectively and work together to combat ter-
rorism on a global scale.
However, the use of AI in counterterrorism is not without its chal-
lenges. One of the key concerns is the potential for bias in AI algorithms,
which could lead to discriminatory practices and the unjust targeting
of certain groups. The US government is taking steps to address the-
se concerns, including increasing transparency and accountability in
AI development and deployment. In conclusion, the United States of
America has been at the forefront of using AI in the ght against terro-
rism. Through data analysis, predictive modeling, and international col-
laboration, the US government is leveraging the power of AI to identify
and prevent potential threats. While there are challenges to overcome,
the potential benets of AI in counterterrorism are signicant, and the
US is leading the way in exploring and maximizing these opportunities.
(Barnes, 2019)
Moreover, Russia is a leader in employing AI for counterterrorism.
They leverage AI in various areas to combat security threats. Notably, fa-
cial recognition technology is a key tool used to identify and locate terro-
rists and suspects in public spaces, including airports and metro stations.
Biometric technologies, such as iris recognition and ngerprint scanning,
are also utilized for suspect identication in their counterterrorism ef-
forts. Russias experience in using AI for counterterrorism encompasses a
range of technologies and strategies. (How Russia uses facial recognition
technology, 2019)
AI in Russian counterterrorism includes predictive policing and
social media monitoring. Predictive policing identies potential threats
and suspicious behavior, while advanced algorithms analyze social me-
dia content to detect terrorist activity using natural language processing
and machine learning. (Russia Uses Social Media to Identify Potential
Terrorists, 2018)
In addition to these technologies, Russia employs an integrated sur-
veillance system, merging AI-powered cameras and sensors with big data
analysis for real-time monitoring of large areas. The system detects and
prevents terrorist attacks and other criminal activities while also moni-
toring trac and public transportation to facilitate swift responses. The
key strength of Russia’s AI-based counterterrorism approach lies in inte-
grating diverse technologies and strategies, including facial recognition,
social media monitoring, and predictive policing. This comprehensive
85
Issam Iyrot, Raid Nairat AI-Enhanced Counterterrorism: Predicng Threats for a Safer World
system enables authorities to analyze substantial data, identify threats,
and respond promptly. (Institute for the Study of War, 2020)
However, Russian AI counterterrorism eorts have raised concer-
ns about potential abuses, such as tracking political dissidents. Predictive
policing has also raised concerns about discrimination and civil liberties
violations. However, the Russian experience has been successful in pre-
venting attacks, serving as a model for other countries. (Khatchadourian,
2020)
In conclusion, the Russian experience in utilizing AI for counterter-
rorism has been comprehensive and eective. The country has developed
and utilized a wide range of AI technologies and strategies, from facial
recognition to social media monitoring to predictive policing. While
there are concerns about the potential misuse of these technologies, the
Russian approach has demonstrated the potential of AI to improve natio-
nal security and prevent terrorist attacks.
In Asia, China is a leader in AI-driven counterterrorism eorts, uti-
lizing facial recognition, social media monitoring, and predictive poli-
cing. Facial recognition aids real-time identication and arrests of suspec-
ted terrorists. AI analyzes social media for signs of extremist activity. An
integrated surveillance system uses AI and big data for real-time monito-
ring to prevent attacks. Predictive policing, though controversial due to
discrimination and human rights concerns, helps identify patterns to pre-
vent terrorism. (Zhang, 2019). While these experiences demonstrate the
potential for AI to improve security and prevent terrorist attacks, they
also raise important questions about privacy, human rights, and potential
abuses.
In Europe, the United Kingdom has also been using AI in its eorts
to combat terrorism and extremism. The government has been working
closely with tech companies to develop AI-powered tools to detect and
prevent terrorist activities. One such tool is the “Online Hate Speech
Dashboard,” which uses AI to monitor social media platforms for hate
speech and extremist content. The tool has been successful in identifying
and removing such content, and the government is now exploring ways
to expand its use.
France is another country that has been using AI in combating ter-
rorism and extremism. The French government has been working with
tech companies to develop AI-powered tools to identify and track po-
tential terrorists. One such tool is the “MOSAIC” system, which uses AI
to analyze social media and other online activities to identify potential
threats. The tool has been successful in identifying and tracking suspects,
leading to several arrests. France has also been actively involved in using
articial intelligence to combat terrorism. Since the Charlie Hebdo attack
in 2015, France has had to deal with several terrorist attacks that have
caused signicant loss of life and damage. (Hanquez, 2020) In response
to these attacks, the French government has made use of articial intel-
ligence and other advanced technologies to help prevent such incidents
in the future.
The French government’s key initiatives include the 2018 launch of
the Platform of Analysis of Terrorist Threats (PAT), which uses real-time
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data, including social media, to identify potential threats. Additionally,
facial recognition technology is used in public places to identify suspects
and enhance national security, though it has sparked privacy and civil
liberties concerns. (Lennard, 2019)
In addition, the French government has launched several initiatives
aimed at preventing radicalization and extremism. One of these is the
Stop-Djihadisme campaign, which aims to counter extremist propagan-
da online and promote a positive image of French society. The campaign
uses social media and other digital channels to reach out to young people
and prevent them from being radicalized. (Ministère de l’Intérieur, 2015)
Overall, the French experience in combating terrorism using arti-
cial intelligence has been mixed. While the use of advanced technologies
has undoubtedly helped to prevent some attacks and identify suspects,
there have also been concerns about the potential for misuse and the im-
pact on privacy and civil liberties. Any use of articial intelligence in the
ght against terrorism must be carefully balanced with the need to pro-
tect fundamental rights and freedoms. In the Middle East, Israel has been
using AI in its eorts to combat terrorism. The Israeli government has
developed an AI-powered system called “HARPOON” that can analyze
large amounts of data and identify potential terrorist threats. The system
has been successful in detecting and preventing several terrorist attacks.
Despite the successes of these countries, there are still challenges to the
use of AI in combating terrorism and extremism. One of the biggest
challenges is the ethical issues surrounding the use of AI (Shoshan, 2018).
There are concerns that AI-powered tools could be used to violate human
rights and privacy, and there are questions about who should have access
to the data collected by these tools.
Another challenge is the potential for misuse of AI-powered tools.
There is a risk that governments could use these tools to target politi-
cal opponents or to suppress dissent. There is also the risk that terrorist
groups could use AI to develop more sophisticated attacks or to evade
detection. (The World Bank, 2020)
In conclusion, the use of articial intelligence in combating terro-
rism and extremism has become increasingly important in recent years.
Governments around the world have recognized the potential of AI in
identifying threats, tracking suspects, and preventing attacks. While the-
re have been successes in the use of AI, there are also challenges and risks
to be addressed. The development of ethical guidelines and regulations
for the use of AI in this context will be crucial in ensuring that this tech-
nology is used responsibly and eectively.
Germany has utilized articial intelligence in the prediction and
prevention of terrorist activities. Their experiences in this eld are varied
and include the use of social media monitoring, predictive policing, and
analyzing large sets of data. The country has also implemented measu-
res to protect civil liberties and privacy concerns, such as using AI for
specic, limited purposes and ensuring transparency and accountability
in its use. Germany has also implemented several initiatives to leverage
articial intelligence in countering terrorism. One of the most notable
initiatives is the Federal Criminal Police Oce’s (BKA) Counterterrorism
87
Issam Iyrot, Raid Nairat AI-Enhanced Counterterrorism: Predicng Threats for a Safer World
Information Centre (GTAZ), which uses AI-powered tools to analyze
and process data related to terrorism. The system is designed to iden-
tify potential threats by analyzing large volumes of data from various
sources, including social media, chat rooms, and other online platforms.
(Rommerskirchen, 2018)
In addition to the GTAZ, Germany employs an AI-driven early
warning system, analyzing data from diverse sources, like social media
and nancial transactions, to preempt potential terrorist threats. The sys-
tem collaborates with national and international agencies for a coordina-
ted response. Germany’s commitment to countering terrorism extends
to the Competence Center for Applied Security Technology (CAST), a
research hub for AI in cybersecurity and counterterrorism. CAST unites
researchers, industry specialists, and government authorities to create
advanced AI tools in the ght against terrorism and security challenges.
(Khalid, 2019)
While these initiatives demonstrate Germany’s commitment to le-
veraging AI in countering terrorism, they also raise concerns about pri-
vacy and the potential for abuse. Germany has taken steps to address
these concerns by implementing strict regulations on the use of AI in law
enforcement and national security, including guidelines on transparency,
accountability, and oversight. (BKA, 2019) Overall, Germany’s experien-
ces in the use of articial intelligence in countering terrorism highlight
the potential benets of these technologies, but also the importance of
ensuring that they are used ethically and by established legal and human
rights standards.
However, there are still concerns about the potential for human
rights violations and discriminatory practices in the use of these techno-
logies. Overall, Germany’s experiences highlight the potential benets
and challenges of using AI for counterterrorism eorts.
9 ENHANCING AI USE FOR COUNTERTERRORISM
The use of articial intelligence (AI) in combating terrorism and
extremism has become a growing trend for governments and organiza-
tions around the world. As AI technologies become more advanced, they
are increasingly being used to help identify and prevent potential threats,
predict and analyze patterns of behavior, and target propaganda cam-
paigns by extremist groups. However, despite the potential benets of
AI, some signicant challenges and risks need to be addressed to ensure
its responsible and eective use in countering terrorism and extremism.
One of the key challenges facing the use of AI in this context is the
ethical considerations around privacy, surveillance, and civil liberties. As
governments and organizations collect and analyze vast amounts of data
to identify potential threats, there is a risk that these technologies could
be used to infringe on the rights of individuals or groups. Therefore,
appropriate safeguards must be put in place to ensure that the use of AI is
consistent with human rights principles and respects individual privacy.
AI challenges include algorithmic biases due to skewed or incomple-
te training data. To mitigate this, prioritize transparency, accountability,
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and bias identication and correction in AI system design. AI challenges
include algorithmic biases due to skewed or incomplete training data. To
mitigate this, prioritize transparency, accountability, and bias identica-
tion and correction in AI system design. Despite these challenges, there
are signicant opportunities for the use of AI in combating terrorism and
extremism. One of the most signicant benets is the ability to identi-
fy and analyze patterns of behavior across large datasets, allowing law
enforcement and intelligence agencies to identify potential threats and
predict future activity. Additionally, AI can be used to detect propagan-
da and extremist messaging on social media and other online platforms,
enabling more targeted and eective counter-messaging campaigns.
Furthermore, AI can facilitate cooperation and information sharing
between stakeholders, including law enforcement agencies, intelligence
services, and technology companies. By leveraging AI technologies to
improve the sharing and analysis of data, it is possible to enhance the ef-
fectiveness of eorts to combat terrorism and extremism. Several gover-
nments have already taken steps to integrate AI into their counterterro-
rism eorts. For example, the United States government has established a
Counterterrorism Technology Program, which includes initiatives to de-
velop and deploy AI technologies to identify and track potential threats.
Similarly, the United Kingdoms Home Oce has launched a Counter
Terrorism Innovation Fund, which includes funding for research and de-
velopment of AI-based tools for counterterrorism.
To enhance the use of AI in combating terrorism and extremism,
there are several recommendations and actions that can be taken. Firstly,
it is essential to develop clear and consistent ethical guidelines for the use
of AI in this context, which should be informed by input from a wide ran-
ge of stakeholders, including civil society and human rights organizations.
Additionally, there needs to be greater investment in research and develo-
pment of AI-based tools and technologies for counterterrorism, including
eorts to address potential biases and inaccuracies in these systems.
Moreover, it is essential to promote greater cooperation and infor-
mation sharing between stakeholders, including law enforcement agen-
cies, intelligence services, and technology companies. This will require
the development of common standards and protocols for data sharing
and analysis, as well as eorts to improve trust and collaboration bet-
ween these groups.
Finally, there is a need for greater public education and awareness
about the use of AI in combating terrorism and extremism. This should
include eorts to inform the public about the potential benets and risks
of these technologies, as well as initiatives to promote greater transparen-
cy and accountability in their use.
In conclusion, the use of AI in combating terrorism and extremism
oers signicant opportunities for improving the eectiveness and e-
ciency of counterterrorism eorts. However, appropriate measures must
be taken to address the ethical considerations and potential risks associa-
ted with these technologies. By promoting greater cooperation, invest-
ment, and public education, it is possible to enhance the responsible and
eective use of AI in this critical area.
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Issam Iyrot, Raid Nairat AI-Enhanced Counterterrorism: Predicng Threats for a Safer World
10 RESULTS
The use of articial intelligence (AI) in combating terrorism and
extremism poses several challenges and ethical concerns, such as privacy,
accountability, transparency, and potential for misuse. The development
of explainable AI (XAI) could address some of these ethical concerns rela-
ted to the use of AI in combating terrorism and extremism. However, it is
important to consider the trade-o between explainability and accuracy
when designing XAI systems. Governments and law enforcement agen-
cies need to approach the use of AI in combating terrorism and extremism
with caution and ensure that the technology is used ethically and lawfully.
AI has become an important tool for governments and organiza-
tions in combating terrorism and extremism. While AI is being used by
both terrorist groups and states/governments in the ght against terro-
rism and extremism, there are signicant dierences in their intent and
resources. Terrorist groups use AI for malicious purposes, such as car-
rying out attacks and spreading propaganda, while states and govern-
ments use AI for defensive purposes, such as preventing attacks and pro-
tecting their citizens.
Additionally, states and governments have access to more advan-
ced AI technologies and resources, which enables them to develop more
sophisticated AI systems to combat terrorism and extremism. States and
governments need to continue developing and improving their AI sys-
tems to stay ahead of the evolving threat posed by terrorist groups, but
it is not a panacea. The eectiveness of AI depends on the quality of the
data it is trained on and the algorithms used. While recent developments
in AI have introduced the concept of XAI, which aims to address the
transparency and accountability concerns associated with AI, there are
still signicant challenges to consider, such as legal, technical, and public
perception challenges. States and governments need to continue develo-
ping and improving their AI systems to stay ahead of the evolving threat
posed by terrorist groups.
Several countries, including the United States, Russia, China, the
United Kingdom, France, Israel, and Germany, have been using AI in
their eorts to combat terrorism and extremism. These countries have
developed and used AI-powered tools such as facial recognition systems,
social media monitoring platforms, and predictive policing algorithms
to identify and track potential threats. While these AI tools have helped
prevent some attacks and identify suspects, there are concerns about
their potential misuse, impact on privacy and civil liberties, and ethical
implications. Governments and tech companies need to work together
to establish ethical guidelines and regulations for the use of AI in coun-
terterrorism eorts to ensure that it is used responsibly and eectively.
Overall, the use of AI in combating terrorism oers opportunities
and challenges. To ensure responsible use, investment in research and
ethics, cooperation, and public awareness are essential. Dierences exist
between terrorist groups and governments in intent and resources, em-
phasizing the importance of balancing AI use with protecting fundamen-
tal rights.
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11 RECOMMENDATIONS
(1) Prioritize developing Explainable AI (XAI) to enhance AI
transparency, accountability, and ethics, addressing ethical concerns
in countering terrorism and extremism. (2) Balance Explainability and
Accuracy: While explainability is important, it is also essential to ensure
that AI systems are accurate and eective in identifying potential threats.
Governments and researchers should strive to strike a balance between
explainability and accuracy when designing XAI systems. (3) Collaborate
on ethical regulations addressing AI use in counterterrorism, covering
privacy, civil liberties, and misuse concerns. (4) Promote public education
and awareness about AI’s role in countering terrorism, fostering trust for
responsible and eective use.
BIBLIOGRAPHY
Aha, G. &. (2019). DARPAs explainable articial intelligence (XAI) program. AI Magazine,
40(04), 44-58. Retrieved from https://doi.org/10.1609/aimag.v40i4.2883
Articial Intelligence Strategy Summary. (2020). United States Department of Defense. Retrieved
from https:www.jcs.mil/Portals/36/Documents/Doctrine/concepts/joint_concept_articial_
intelligence_strategy_summary.pdf
Bansal, K. &. (2021). Explainable articial intelligence: A review of key concepts, methods, and
applications. ACM Transactions on Interactive Intelligent Systems (TiiS), 11(02), 1-35.
Barnes. (2019). Practical AI Applications in Counterterrorism. the USA. Journal of Articial Intelli-
gence Research, 10(03), 65-73. doi:https://doi.org/10.1016/j.jair.2019.01.005
Bizet. (2019). Fighting Terrorism with AI: The French Experience.. Retrieved from United Nations
Interregional Crime and Justice Research Institute: https://www.unicri.it/sites/default/-
les/2019-11/Fighting_Terrorism_with_AI_The_French_Experience.pdf
BKA. (2019). Situation Report on Islamist Terrorism in Germany. Retrieved from Federal Crimi-
nal Police Oce: https://www.bka.de/SharedDocs/Downloads/DE/Publikationen/Jahresbe-
richteUndLagebilder/IT-2018.pdf?__blob=publicationFile&v=4
Chen. (2017). Articial intelligence and national security. Harvard National Security Journa,
01(08), 223-252.
Chen, D. &. (2021). An Intelligent Method of Counterterrorism Based on Big Data and Deep
Learning. IEEE Access, 09. doi:doi: 10.1109/access.2021.3116356
Cheng, R. &. (2021). (2021). AI for countering terrorism: Opportunities and challenges. Terrorism
and Political Violence, 33(02), 228-249. doi: 10.1080/09546553.2019.1694097
Cherto. (2018). AI and Terrorism: Disrupting the Networks., 14(3), Article 7. Retrieved from.
Homeland Security Aairs, 14. Retrieved from https://www.hsaj.org/articles/14428
Choudhury, H. &. (2021). Ethics and accountability in the use of articial intelligence for com-
bating terrorism. journal Computers & Security, 105(102210).
Dantcheva, o. &. (2018). Using Articial Intelligence to Counter Terrorism., 20(5),. IT Professio-
nal, 20(05), 9-15. doi:10.1109/mitp.2018.053690517
darkreading. (2022, september). Retrieved from AI Used To Screen US Visa Applicants: https://
www.darkreading.com/vulnerabilities---threats/ai-used-to-screen-us-visa-applicants/d/d-
-id/1336629
Dixon. (2020). Articial Intelligence and Counterterrorism. Studies in Conict & Terrorism,
43(10), 854-875. doi:10.1080/1057610X.2019.1617859
Farahmand, B. &. (2020). Articial intelligence in the ght against terrorism and extremism:
Opportunities and challenges. ournal of Intelligence Studies in Business, 10(01), 1-9. doi:https://doi.
org/10.1007/s12144-019-00517-4
91
Issam Iyrot, Raid Nairat AI-Enhanced Counterterrorism: Predicng Threats for a Safer World
Ford, M. &. (2021). Practical AI Applications in Counterterrorism. National Security Commission
on Articial Intelligence. Retrieved from https://www.nscai.gov/wp-content/uploads/2021/03/
Practical-AI-Applications-in-Counterterrorism.pdf
Hamilton. (2019, September ). Business Insider. Retrieved from Terrorists are using articial in-
telligence to create deepfake propaganda thats almost indistinguishable from real videos.
Hanquez, D. &. (2020). Articial Intelligence to Combat Terrorism: The French Experience.
Journal of Strategic Security, 13(04), 1-12.
How Russia uses facial recognition technology. (2019, December 24). Retrieved from Aljazeera: ht-
tps://www.aljazeera.com/news/2019/12/24/how-russia-uses-facial-recognition-technology
Institute for the Study of War. (2020, August 05). Retrieved from Russia’s Use of Articial Intel-
ligence in Counterterrorism.: https://www.understandingwar.org/backgrounder/russias-use-
-articial-intelligence-counterterrorism
Joe. (2020). Exploring the state of articial intelligence in counterterrorism. Security Journal,
3(33), 344-359.
Johnson. (2020). The Use of AI in Media Campaigns to Counter Propaganda Spread. Retrieved from
Terrorist Groups: https://www.securitymagazine.com/articles/92009-the-use-of-ai-in-media-
-campaigns-to-counter-propaganda-spread-by-terrorist-groups.
Joshi, S. &. (2019). Articial Intelligence and Terrorism: Opportunities and Challenges. In-
ternational Journal of Advanced Research in Computer Science, 10(5), 300-304. doi:https://doi.
org/10.26483/ijarcs.v10i5.6881
Khalid. (2019). Articial intelligence in countering terrorism: A comparative analysis of initiati-
ves by Germany, the United Kingdom, and the United States. Strategic Studies Quarterly, 13(03),
105-133. doi:https://doi.org/10.30936/ssq.v13i3.275
Khatchadourian. (2020). What Machine Learning Can (and Can’t) Do About Online Extremism.. Re-
trieved from The New Yorker: https://www.newyorker.com/tech/annals-of-technology/what-
-machine-learning-can-and-cant-do-about-online-extremism.
Lennard. (2019). How France is embracing AI to ght terrorism. Retrieved from Raconteur: https://
www.raconteur.net/technology/how-france-is-embracing-ai-to-ght-terrorism/
Lieberman, H. &. (2020). Interactive explanations for machine learning models. Human Factors
in Computing Systems (pp. 1-14). Honolulu, Hawaii, USA: Association for Computing Machinery
(ACM).
Maher, &. M. (2018)., A. (2018). Articial Intelligence, Terrorism and Security. CTC Sentinel, 11.
Retrieved from https://ctc.usma.edu/app/uploads/2018/09/CTC-Sentinel_Vol11Iss910.pdf
Mahmood. (2021). Articial Intelligence: Opportunities and Challenges in Combating Terro-
rism and Extremism. Journal of Policing, Intelligence and Counter Terrorism, 16(01), 47-60. doi:doi:
10.1080/18335330.2021.1912277
Meleagro, M. &. (2018). Articial Intelligence: Terrorism, and Security. United States of America:
CTC Sentinel.
Ministère de lIntérieur. (2015, September 24). Retrieved from Stop-Djihadisme: La nouvelle cam-
pagne de communication du gouvernement contre la radicalisation violente: https://www.
interieur.gouv.fr/Actualites/L-actu-du-Ministere/Stop-Djihadisme-la-nouvelle-campagne-de-
-communication-du-gouvernement-contre-la-radicalisation-violente
Natarajan. (2021). Articial Intelligence in Counterterrorism: Challenges and Opportunities.
ournal of Policing, Intelligence and Counter Terrorism, 16(01), 46-56. Retrieved from https://www.
tandfonline.com/doi/full/10.1080/18335330.2020.1841179
others, J. &. (2020). Articial Intelligence and Terrorism: Challenges and Opportunities. The
Journal of Strategic Information Systems, 29. doi:https://doi.org/10.1016/j.jsis.2020.10161
Rida, B.-H. &. (2020). Articial intelligence in counterterrorism: Opportunities and challenges.
Journal of Strategic Security, 13(04), 1-24.
Rommerskirchen. (2018). Articial Intelligence and Terrorism: Challenges and Opportunities
for the German Government. European Eye on Radicalization. Retrieved from https://eeradicali-
zation.com/articial-intelligence-and-terrorism-challenges-and-opportunities-for-the-german-
-government/
Russia Uses Social Media to Identify Potential Terrorists. (2018, July 23). Retrieved from VOA News:
https://www.voanews.com/a/russia-uses-social-media-to-identify-potential-terrorists/4500783.
html
92
estudos internacionais • Belo Horizonte, ISSN 2317-773X, v. 12, n. 3, (dez. 2024), p. 74-92
Shan & Zhang. (2020). Explainable articial intelligence (XAI) in counter-terrorism: Opportu-
nities and challenges. Journal of Counterterrorism & Homeland Security International, 26(01), 34-41.
Shoshan. (2018). How Israel Is Using AI to Combat Terrorism. Retrieved from For-
bes: https://www.forbes.com/sites/startupnationcentral/2018/11/07/ho-
w-israel-is-using-ai-to-combat-terrorism/?sh=1ca9b0a717
Smith. (2022). Practical AI Applications in Counterterrorism. The USA Journal of National Se-
curity, 10(02), 45-62.
Stillman, H. &. (2019). Articial Intelligence and Terrorism: The Road Ahead. Washington Insti-
tute for Near East Policy. Retrieved from https://www.washingtoninstitute.org/policy-analysis/
articial-intelligence-and-terrorism-road-ahead
The World Bank. (2020). Retrieved from https://www.worldbank.org/en/topic/digitaldevelop-
ment/brief/articial-intelligence-in-the-middle-east-and-north-afri
Zenasn, C. &. (2021). Articial intelligence and decision-making in counter-terrorism: An over-
view. Journal of Policing, Intelligence and Counter Terrorism, 16(02), 180-196.
Zhang. (2019). Big data and articial intelligence in China’s counter-terrorism. Europe Journal of
Counterterrorism & Homeland Security International, 25(02), 14-23.
Zhao, H. &. (2019). Articial intelligence and the future of warfare. Journal of Strategic Studies,
42(1), 80-106. Retrieved from https://doi.org/10.1080/01402390.2018.1501737