The period elapsed is marked by an unprecedented wave of global alerts signaling the materialization of serious risks related to artificial intelligence. Failures of AI systems have had direct and lethal consequences, particularly in Brazil and Iran, while their undisclosed use in emergency services caused critical delays in the United States. On the cybersecurity front, threats have intensified with the demonstration of adaptive AI-based computer worms, the multiplication of attacks against the financial sector, and leaks of sensitive data through AI agents. The British AI Safety Institute (AISI) has moreover alerted on the reduction of the capability gap for harm between open-source models and proprietary models. Finally, political interference has been confirmed with the use of deepfakes and fraud tools during elections in Colombia and disinformation campaigns targeting military institutions in Nigeria.
Global wave of serious AI-related incidents, risks are materializing
The past month has been characterized by an exceptional accumulation of artificial intelligence-related incidents, documented notably by the AI Observatory of the Organisation for Economic Co-operation and Development (OECD). These events, ranging from critical failures to sophisticated malicious uses, confirm the transition from theoretical risks to tangible and severe impacts on a global scale. These multiple alerts have affected critical sectors such as health, civil security, finance, and the integrity of democratic processes.
AI system failures with lethal and security consequences
Several events during the period have dramatically illustrated the dangers of AI in high-risk applications. In Brazil, a woman died following a delay in transfer to intensive care, a decision attributed to an AI patient management system (OECD AI, 14/06/2026). In the United States, in Seattle, it was revealed that fire services were secretly using an AI system to sort emergency calls (911), resulting in delays in emergency response (OECD AI, 14/06/2026).
Another major incident involved the Claude AI model, developed by the Anthropic laboratory, which reportedly was used in connection with a deadly attack on a school in Iran (OECD AI, 09/06/2026). This event, if confirmed in its details, raises critical questions about the responsibility of frontier model developers and the risks of diversion of their technologies for hostile purposes. These concrete cases intensify pressure on regulators to impose clear liability regimes and robust post-deployment monitoring obligations, such as those provided for by the European AI Act but whose equivalent is lacking in other jurisdictions.
Proliferation of cyber-risks and malicious use
Cybersecurity is the other major area of concern. The AI Safety Institute (AISI) of the United Kingdom published a notable analysis on June 4, 2026, concluding that cybernetic risks associated with open-source AI models are rapidly approaching those of proprietary frontier models (MLex, 04/06/2026). This convergence democratizes access to advanced harm capabilities, a point confirmed by several incidents.
Researchers demonstrated an adaptive computer worm powered by AI, capable of spreading autonomously between systems (OECD AI, 04/06/2026). In parallel, AI-coordinated attacks caused massive losses in the decentralized finance (DeFi) sector (OECD AI, 28/05/2026). Other incidents include: * The spread of cryptojacking malware via chatbot recommendations (OECD AI, 27/05/2026). * The leak of sensitive identification data during phishing simulations carried out by an AI agent named OpenClaw (OECD AI, 10/06/2026). * Research demonstrating the possibility of hijacking voice assistants through inaudible audio attacks to the human ear (OECD AI, 24/05/2026).
These developments signal increasingly sophisticated threats, making traditional defenses potentially obsolete and reinforcing the need for international cooperation on model security standards.
Disinformation and societal risks intensify
The integrity of democratic processes and social stability have also been undermined. The electoral process in Colombia was targeted by fraud and disinformation campaigns using deepfakes (OECD AI, 26/05/2026). In Nigeria, a deepfake video specifically targeted the country's military command, illustrating the destabilizing potential of these technologies against state institutions (OECD AI, 10/06/2026).
Beyond disinformation, new societal risks are emerging. A simulation conducted with xAI's Grok model resulted in a scenario of total societal collapse, raising questions about the predictability and control of the most advanced models (OECD AI, 01/06/2026). In a different but equally concerning vein, a startup offered free cleaning services in exchange for data captured in customers' homes to train its AI, creating an alarming precedent in terms of privacy violations (OECD AI, 30/05/2026).
The accumulation of these alerts across the world should accelerate regulatory discussions, not only within multilateral bodies such as the Global Partnership on Artificial Intelligence (GPAI) and the OECD, but also at the national level. The challenge for the coming month will be to observe how governments and international institutions respond to this rapid and widespread materialization of risks, and whether this will result in a tightening of the implementation timelines of existing laws or the launch of new binding initiatives.
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