Apply Now to Human-Aligned AI Summer School 2026

Key Takeaways

• Sixth Human-Aligned AI Summer School runs July 13‑16 in Prague.
• Targets PhD students, researchers, and industry AI talent.
• Curriculum covers AI risk, post‑training, interpretability, and ecosystem alignment.
• Early rolling applications; most spots expected filled by mid‑June.
• Workshops, expert panels, and networking foster alignment community collaboration.

Pulse Analysis

The rapid advancement of large language models and other frontier AI systems has intensified concerns about long‑term safety and alignment. As corporations and governments race to deploy increasingly capable models, the need for a dedicated cadre of researchers who can bridge theoretical insight with practical engineering grows ever more urgent. The Human‑Aligned AI Summer School, now in its sixth edition, provides a focused venue where emerging scholars and seasoned practitioners converge to tackle the technical challenges that underlie safe AI development. By concentrating on hands‑on learning rather than merely showcasing the latest papers, the program accelerates skill transfer across the field.

This year’s curriculum spans five core strands: revisiting classic AI‑risk arguments, dissecting post‑training alignment techniques such as character training and reinforcement‑learning from human feedback, probing mechanistic interpretability and LLM psychology, exploring representational convergence across capable systems, and addressing alignment within complex socio‑technical ecosystems. Each topic is delivered through a mix of lecture series, small‑group workshops, and expert panels, allowing participants to apply concepts to real‑world scenarios and to brainstorm collaborative projects. The interdisciplinary emphasis equips attendees with both the mathematical rigor and the systems‑level perspective needed to influence next‑generation AI safety research.

Applications open now via an online form and are reviewed on a rolling basis, with most slots expected to close by mid‑June. The program caps attendance to maintain an intimate learning environment, ensuring ample interaction with faculty drawn from leading AI safety labs and academia. Graduates of the summer school have historically contributed to high‑impact alignment projects and publications, amplifying the event’s reputation as a pipeline for talent that can shape policy, industry standards, and future research agendas in AI safety.