Mapping The Global Use Of Artificial Intelligence In Counter

Bonisiwe Shabane

-Dec 2, 2025, 11:31 AM

mapping the global use of artificial intelligence in counter

The Rise of AI in the Fight Against Disinformation: A Collaborative Approach The digital age, characterized by the proliferation of online platforms and social media, has witnessed an unprecedented surge in the spread of disinformation. Traditional methods of media regulation and censorship struggle to keep pace with the speed and scale of this challenge. Artificial intelligence (AI) is increasingly viewed as a crucial tool in combating this infodemic, offering the potential to automate the detection and flagging of misleading information. International organizations, governments, and private companies are investing heavily in AI-powered solutions. However, the success of these initiatives hinges on a collaborative approach, integrating top-down interventions with bottom-up empowerment of journalists and civil society organizations.

Mapping the AI-Powered Anti-Disinformation Landscape: A Web-Based Approach To understand the evolving landscape of AI-driven anti-disinformation initiatives, researchers employed a web mapping methodology. This approach leverages the interconnected nature of the web, utilizing hyperlinks as proxies for social connections. By analyzing the citation structure of websites dedicated to combating disinformation with AI, researchers gain insight into the networks of actors involved and their respective strategies. This study specifically examined 81 websites actively engaged in developing or utilizing AI against disinformation, creating a network map visualizing their interconnections. Unveiling Three Distinct Clusters: Europe, the US, and Fact-Checking Agencies

Our research integrity and auditing teams lead the rigorous process that protects the quality of the scientific record Most initiatives that use artificial intelligence to combat disinformation are clustered around two continents. Information spreads quickly on the internet, and consequently, so does disinformation. This has become a serious problem for modern societies, as traditional approaches to curtail disinformation don’t scale very well. Policymakers and media organisations increasingly see artificial intelligence (AI) as a tool that can be used to automate the detection of false or misleading information to prevent it from spreading further. In this week’s post, we take a look at a brief research report that analyses the hyperlink citation structure of websites belonging to initiatives that use AI to fight disinformation.

This is based on the idea that hyperlinks serve as proxies for social connections, which may include anything from similar viewpoints to actual collaborations. The use of artificial intelligence in counter-disinformation: A world wide (web) mapping Federico Pilati (University of Bologna, University of Milano-Bicocca and University of Geneva) Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit... The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from...

To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The purpose of this paper is to assess whether current international instruments to counter cybercrime may apply in the context of Artificial Intelligence (AI) technologies and to provide a short analysis of the ongoing... This paper discusses the implications that AI policy making would bring to the administration of the criminal justice system to specifically counter cybercrimes. Current trends and uses of AI systems and applications to commit harmful and illegal conduct are analysed including deep fakes. The paper finalizes with a conclusion that offers an alternative to create effective policy responses to counter cybercrime committed through AI systems. Keywords: AI, Budapest Convention, CAHAI, Criminal justice, Cybercrime, Deepfakes, Istanbul Convention, Law enforcement, Lanzarote Convention

Undoubtedly, AI has brought enormous benefits and advantages to humanity in the last decade and this trend will likely continue in coming years since AI is gradually becoming part of the digital services that... Many governments around the world are considering the deployment of AI systems and applications to help them achieve their activities and more concretely to facilitate the identification and prediction of crime.1 Further, national security... There are significant developments of AI technologies like the use of facial recognition in the criminal justice realm, the use of drones, lethal autonomous weapons and self-driving vehicles that when not properly configured or... Posted on February 7, 2024 | Completed on June 30, 2023 | By: Philip Payne, Joseph Matthew Friar, Curtis Smedley The Cybersecurity & Information Systems Information Analysis Center performed open-source research and obtained white papers and reports from numerous sources to include the Defense Technical Information Center Research and Engineering Gateway and Elsevier’s ScienceDirect. Overall, the research showed that the best way to counter artificial intelligence (AI) offensive tools was with AI defensive tools.

The resulting research is described in detail. This TI response report is organized into three distinct sections: (1) completed cyber-AI research, (2) current market studies, and (3) cyber-AI centers. The first section discusses completed cyber-AI research, with reports and perspectives detailing the importance of AI in cybersecurity. Next, this report details current market research and studies. The top defensive and offensive tools and capabilities are mentioned, along with forecasts and statistics on current and future cyber-AI investments. Finally, two institutions specifically created for the study of cyber-AI are identified.

The respective missions, along with current work of these institutions, are also highlighted. What is the state of industry investment in developing products in support of counter‑artificial intelligence (AI) offensive tools and techniques? The objective for the information is to help the inquiring organization determine what types of tools and techniques are currently available, as well as what counter-AI investments are being made and in what areas. Current U.S. efforts and products are of primary interest. This report summarizes the research findings of the inquiry.

Given the limited duration of the research effort, this report is primarily a curated summary of sources and information, analyzed by our researchers, pertaining to counter-AI cyberoffensive tools and techniques. Section 2.1 begins by highlighting research that has already been completed in cyber-AI research to date. Artificial intelligence is reshaping economies and societies at a remarkable pace, transforming how people learn, work and live. Its ability to unlock access to knowledge, boost productivity and open new markets holds immense potential to accelerate development, creating jobs, new industries and boosting economic transformation. This Digital Progress and Trends Report 2025: Strengthening AI Foundations offers a comprehensive data-driven snapshot of the global AI landscape. It underscores that while AI opens up opportunities, low- and middle-income countries face steep challenges to adapt or deploy AI effectively and at scale.

Yet a promising trend is emerging as many countries are actively adopting “Small AI” solutions. These approaches are more affordable, easier-to-use applications designed to run on everyday devices like mobile phones, and they are already helping extend AI’s reach to help solve today’s most pressing development challenges in areas... As developing countries adopt AI, they continue to strengthen the foundations for AI innovation. This report emphasizes the importance of the “four Cs”: connectivity (energy and digital infrastructure), compute (AI chips, data centers, cloud computing), context (data), and competency (skills). Together, these elements form the bedrock of inclusive and effective AI ecosystems, enabling countries to adopt, adapt, and innovate responsibly. The World Bank is committed to helping countries harness AI for inclusive and sustainable development.

This includes strengthening the foundations for adoption, adaptation, and innovation; advancing data governance; championing regulatory and institutional reforms; and investing in the skills needed to thrive in the digital era. It also means fostering local innovation ecosystems and ensuring that AI solutions are tailored to local realities and priorities. At the same time, policies that promote competition and ensure the equitable distribution of AI’s benefits will be essential to mitigate risks and deliver broad impact. The importance of ID access in three charts: Insights from Sub-Saharan Africa EXPERT PERSPECTIVE — Artificial intelligence (AI) has truly captivated the American imagination, with increasing attention focused on the latest AI breakthroughs and capabilities. With each new model release and use case, AI adoption has flourished, with recent estimates suggesting that some 52% of adults in the U.S.

have used large language models (LLMs) and generative AI as of early 2025. Yet beneath the surface lies a less visible, relatively unknown, and potentially more consequential domain: counter-AI. While leading digital transformation at the CIA, I witnessed firsthand how adversarial AI operations are reshaping the threat landscape, often faster than our nation’s defenses can adapt. This silent race to protect AI systems from manipulation may be the most consequential AI competition of all, with profound implications for national security. Adversarial machine learning (AML) represents one of the most sophisticated threats to AI systems today. In simple terms, AML is the art and science of manipulating AI systems to behave in unintended ways.

The methods through which AML can lead to harmful outcomes are limited only by the imagination and technical skill of criminal and hostile nation-state actors. These attacks are not theoretical, and the stakes are only getting higher, as AI systems become more pervasive across critical infrastructure, military applications, intelligence operations, and even everyday technologies used by billions of people. In short: a compromised AI could result in anything from a minor inconvenience to a catastrophic security breach. The intersection of technology, defense, space and intelligence is critical to future U.S. national security. Join The Cipher Brief on June 5th and 6th in Austin, Texas for the NatSecEDGE conference.

Find out how to get an invitation to this invite-only event at natsecedge.com

Mapping The Global Use Of Artificial Intelligence In Counter

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