Tech
Militant Groups Adopt AI to Spread Propaganda and Boost Recruitment
Extremist organisations have begun using artificial intelligence (AI) to create realistic images, videos, and audio in efforts to recruit members and amplify their influence, national security experts warn. Since programs such as ChatGPT became widely accessible, militant groups have increasingly experimented with generative AI, despite being unsure how to fully exploit its potential.
Recent reports show that individuals linked to the Islamic State (IS) have encouraged supporters to integrate AI into their operations. One post on a pro-IS forum urged users to make “AI part of their operations,” noting its ease of use and potential to cause concern among intelligence agencies.
IS, which once controlled territory in Iraq and Syria, is now a decentralized network of groups and individuals sharing a violent ideology. The organisation recognized years ago that social media could be a powerful recruitment and propaganda tool, making AI a natural extension of its digital tactics. Even poorly resourced groups or individual actors can now use AI to produce deepfakes and other fabricated content at scale, widening their reach and impact.
“For any adversary, AI really makes it much easier to do things,” said John Laliberte, former NSA vulnerability researcher and CEO of cybersecurity firm ClearVector. “With AI, even a small group that doesn’t have a lot of money is still able to make an impact.”
Militant groups have already used AI-generated content to influence public perception. Two years ago, during the Israel-Hamas conflict, fabricated images showing bloodied children in bombed-out buildings circulated widely online, stirring outrage and polarising audiences. Last year, following an IS-affiliated attack at a Russian concert that killed nearly 140 people, AI-crafted propaganda videos spread rapidly on social media and discussion boards. IS has also produced deepfake audio of leaders reciting scripture and quickly translated messages into multiple languages.
Experts caution that, while extremist groups are still behind nations like China, Russia, or Iran in sophisticated AI applications, their use of the technology is considered “aspirational” but dangerous. Hackers are already using synthetic media for phishing attacks, and AI can also help write malicious code or automate parts of cyberattacks. Homeland security agencies warn that militants could one day use AI to compensate for technical limitations in producing biological or chemical weapons.
Lawmakers are seeking to address the growing threat. Senator Mark Warner of Virginia stressed the need for AI developers to share information on misuse by extremists, hackers, or foreign spies. House legislation now requires homeland security officials to assess the risks AI poses to terrorist groups annually. Representative August Pfluger, who sponsored the bill, said policies must evolve to counter emerging threats.
Marcus Fowler, former CIA agent and CEO of Darktrace Federal, highlighted the urgency: “ISIS got on Twitter early and found ways to use social media to their advantage. They are always looking for the next thing to add to their arsenal.”
As AI becomes increasingly powerful and accessible, security experts warn that militant groups’ ability to manipulate the technology for recruitment, propaganda, and cyber operations is a threat that governments and tech companies cannot ignore.
Tech
Study Says EU Regulations Are Slowing Rollout of Advanced AI Models
A new study by Governance.AI has found that European Union regulations are delaying the rollout of advanced artificial intelligence models, with technology companies increasingly pointing to the bloc’s regulatory framework as a key obstacle to launching new AI products in Europe.
The report examined 375 large language models (LLMs) released between June 2018 and May 2026, comparing their availability across the United States, the European Union and the United Kingdom. According to the findings, at least 11 percent of advanced AI model releases were either delayed or never launched in the EU compared with the United States. In the UK, the figure stood at 7 percent.
Researchers said they identified 68 cases in which AI models experienced delays or were withheld from specific markets. Regulatory factors were cited as the primary reason in 56 of those cases, making them the most common cause of restricted availability.
The study reviewed releases from major AI developers, including Meta, Google, OpenAI and Anthropic. Meta recorded the highest proportion of delayed or unavailable releases, with 26 percent of its AI models delayed or withheld in the EU and 15 percent in the UK. Anthropic’s Claude 3 Opus was highlighted as one example, with its web application arriving in the EU 71 days later than in the United States.
According to the report, data protection rules have emerged as the biggest regulatory hurdle, particularly for AI systems capable of processing images, audio and real-time video rather than text alone.
The researchers argued that uncertainty surrounding the application of the General Data Protection Regulation (GDPR) to AI model training and deployment has created additional challenges for developers. They also said enforcement of data protection rules has generally been stricter within the EU than in the UK, despite both jurisdictions sharing similar legal foundations following the adoption of the GDPR before Britain’s exit from the bloc.
The report noted that the full impact of newer legislation, including the Digital Markets Act, which began taking effect in 2023, and the Artificial Intelligence Act, adopted in 2024, has yet to be fully reflected in the data.
At the same time, the European Union is reviewing proposals aimed at making data rules more practical for AI development through its Digital Omnibus initiative. Lawmakers are also considering changes to copyright legislation and the AI Act’s copyright provisions to strengthen protections for creators, measures that researchers say could affect future AI model availability if implemented too strictly.
John Lidiard, a UK AI policy researcher and one of the report’s authors, said policymakers should consider the impact that regulatory barriers can have on businesses and consumers seeking access to the latest AI technologies. He said balancing innovation with effective oversight would remain a key challenge as governments continue to develop AI regulations.
Tech
French Startups Face Political Uncertainty as AI Reshapes Innovation Landscape
Tech
AI Security Test Reveals Vulnerabilities in US Government Systems Within Hours
-
Entertainment2 years agoMeta Acquires Tilda Swinton VR Doc ‘Impulse: Playing With Reality’
-
Sports2 years agoChina’s Historic Olympic Victory Sparks National Pride Amid Controversy
-
Business2 years agoSaudi Arabia’s Model for Sustainable Aviation Practices
-
Business2 years agoRecent Developments in Small Business Taxes
-
Home Improvement2 years agoEffective Drain Cleaning: A Key to a Healthy Plumbing System
-
Politics2 years agoWho was Ebrahim Raisi and his status in Iranian Politics?
-
Sports2 years agoKeely Hodgkinson Wins Britain’s First Athletics Gold at Paris Olympics in 800m
-
Business2 years agoCarrectly: Revolutionizing Car Care in Chicago
