kasl.ai: Advancing AI Safety and Alignment Through Cutting-Edge Research

kasl.ai is a leading AI safety research group based at Mila, the Quebec Artificial Intelligence Institute, dedicated to solving foundational challenges in the alignment and safety of large language models. Led by David Krueger, a prominent researcher and Assistant Professor at the University of Cambridge, the lab brings together top experts from NLP, machine learning, and AI safety to explore critical topics such as mechanistic interpretability, adversarial robustness, reward gaming, emergent planning, and out-of-distribution generalization. With influential publications at top-tier conferences like NeurIPS, ICML, ICLR, and ACM FAccT, kasl.ai is shaping the future of responsible AI development. The group also offers a prestigious paid AI Safety Internship in collaboration with the University of Cambridge, inviting PhD-level researchers and postdocs to contribute to high-impact safety initiatives. Its mission is to ensure AI systems are reliable, interpretable, and aligned with human values.

Key Features:

• Foundational AI Safety Research
• Focus on AI Alignment and Reliability
• Expertise in Mechanistic Interpretability
• Research on Adversarial Robustness
• Exploration of Reward Gaming and Capability Elicitation
• Technical AI Governance Studies
• High-Impact Publications at Leading AI Conferences
• AI Safety Internship Program (ERA) with Academic Collaboration
• Open Research Agenda on LLM Safety and Alignment
• Opportunities for Research Collaboration and Visiting Positions

Pricing: Free (research publications and public agenda are openly accessible; internship is paid but not a product-based service)

Conclusion: kasl.ai stands at the forefront of responsible AI innovation, offering vital research and collaboration opportunities for those committed to building safer, more trustworthy AI systems.