Events

Join us at our upcoming events, conferences, and community gatherings.

Upcoming Events

Nov
20–22
2026

AI Transparency Days 2026

Three-day hackathon-style event bringing together roughly 50 participants for hands-on work toward transparent and safe AI, with prizes for the winning teams.

Format, tracks, and the exact admission fee are still being finalised. Registration is not yet open.

Location: Nuremberg, Germany · Admission: Small fee, amount to be announced

Event details →
TBA
2027

AI Transparency Conference (AITC 2027)

Planning for the next edition of the AI Transparency Conference is underway. It will again be held in Nuremberg; dates, the exact venue, and the call for submissions will be announced on the official conference site.

Everything for AITC 2027 — programme, call for submissions, and registration — is published directly at aitc2027.cc.

Location: Nuremberg, Germany · Admission: TBD

Dates and exact venue not yet confirmed — details to follow.

Go to aitc2027.cc →

Past Events

Recordings live
Jun
5–6
2026

AI Transparency Conference (AITC 2026)

Two-day on-site research conference on transparent and human-compatible AI systems. Tracks: Detect (Agent Behaviour), Understand (Interpretability), Control (AI Safety).

Three keynotes, ten paper talks, and two poster sessions across both days, with contributions from researchers across Europe and beyond.

Talk recordings are now online — keynotes and paper talks published with the speakers’ consent.

Location: Nuremberg, Germany · Admission: Free

Conference archive →
Oct
25
2025

Lange Nacht der Wissenschaft

When AI agents go haywire! How we can create a safe and autonomous agent world.

We presented our current research activities and described what we can and must do to balance opportunities and risks. 17:00–24:00 in Nuremberg and Erlangen.

Event page →
Oct
17–19
2025

AI Transparency Days

Three-day community event with focused working sessions, talks and hands-on hacking toward transparent & safe AI.

Track 1: AI Governance & AI Control — Developing frameworks, policies, and tools to ensure responsible AI deployment.

Track 2: Mechanistic Interpretability — Hands-on experiments with large AI models, using tools like NNsight and the eDIF cluster.

Event page →