FAR.AI Advances AI Safety Research With Global Forums and New Vulnerability Tools
FAR.AI highlights its Q1 2025 progress in AI safety, including major global conferences and new academic papers. The organization also introduces a controlled-access demo to help researchers study jailbreak vulnerabilities in frontier models.
FAR.AI makes significant strides in AI safety during the first quarter of 2025 by bringing together global experts to address emerging security challenges. The organization hosts the Paris AI Security Forum in February, which gathers approximately 200 researchers, engineers, and policymakers to discuss AI risks and necessary safeguards. FAR.AI also participates in the International Association for Safe and Ethical AI conference at the OECD to help build a coordinated global ecosystem for advanced AI protection.
The research teams at FAR.AI submit four academic papers focusing on critical topics like robustness in large language models, safety cases for open-weight models, and mechanistic interpretability for reinforcement learning agents. In addition to these papers, the organization launches a controlled-access jailbreak-tuning demo. This interactive tool exposes vulnerabilities in frontier AI models and serves as a valuable educational resource for researchers investigating AI safety risks.
Other notable quarterly events include the London Control Workshop, supported by Redwood Research and the UK AI Security Institute, where experts explore AI control mechanisms and alignment strategies. The weekly FAR.AI Seminar Series continues to feature leading voices in the field, such as Fabien Roger from Anthropic discussing scheming LLMs and Nicholas Carlini from Google DeepMind addressing the growing difficulty of adversarial machine learning. Through these combined efforts in events and research, FAR.AI actively fosters a deeper understanding of AI risks and solutions.