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ML Verifiability Hackathon

May 26 - 28, 2023Online and in person

ML Verifiability Hackathon

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See upcoming Sprints

Join us for this month's Alignment Jam to investigate how we can both formally and informally verify the safety of machine learning systems!

Overview

Spend a weekend of intense and focused research work towards validating safety of neural networks in various domains (e.g. language) using adversarial attack / defense and other ML safety research methods. Re-watch the intro talk here.

Resources

Read up on the topic before we start! The reading group will work through these materials together up to the kickoff.

Join the reading group here.

Schedule

Schedule & logistics

Here, you can see the calendar and schedule. All times are in UTC+1 (UK Summer Time). You can subscribe to the calendar to see the event timings in your time zone.

Local sites

Where a Sprint can lead

How our programs connect

  1. Sprint

    Anyone can join

    Stand out

  2. Apart Fellowship

    6 to 16 weeks on your own project, with a research project manager, compute and publication support.

Upcoming Sprints

All Sprints
Oct 23 - 25, 2026

AI Collusion Research Sprint

A weekend research sprint on collusion between AI agents: when it emerges in markets and everyday workflows, how to detect and audit it, how it is carried, and what breaks it. Co-organized with Poseidon Research and AE Studio, online with in-person hubs at Collider in New York City and AI Safety Hong Kong. Top teams are invited to apply to the Apart Fellowship.

Read the brief: AI Collusion Research Sprint
Nov 13 - 15, 2026

AI x Epistemics Research Sprint

A weekend research sprint on AI for epistemics: evaluating whether models know how solid their claims are, building trust infrastructure that people and agents can consume, and shipping epistemic products that improve real decisions. Online, four tracks including an open track. Top teams are invited to apply to the Apart Fellowship.

Read the brief: AI x Epistemics Research Sprint

Questions? sprints@apartresearch.com