Mini-Symposium on Accelerating AI Safety Progress via Technical Methods

​Are you working on accelerating AI safety effectiveness for existential risks? Interested in contributing to this problem, learning about current efforts, or funding active work? Join us:

​📍 Location & Time (Hybrid Event):

• ​In-person: Picasso Boardroom, 1185 6th Avenue, NYC (capacity limited to 27 attendees, **capacity has been reached/event full for in-person attendance**)

• ​Virtual: Unlimited capacity, Google Meet link will be sent to registered participants before event

• ​Date: Friday 10/10 at 4 pm EDT

  • ​(One hour before EA Global NYC 2025 opens nearby)

​🎯 The Challenge:

• ​AI capabilities are advancing rapidly

• ​Current research literature: Many AI safety approaches may not scale beyond human-level AI

• ​Critical question: Given catastrophic risks at stake, how can we accelerate our progress toward effective technical AI safety solutions, for future powerful AI systems which may emerge in the near-term?

​🚀 Event Focus: This symposium may be a first to connect researchers, founders, funders, and forward thinkers on technical AI safety acceleration methods.

​📝 Registration:

• ​Free hybrid event with in-person and virtual options

• ​In-person registration (closed): Capacity limited to 27 attendees- in-person capacity has been reached

  • ​Even though Luma will send a 'Registration confirmed' email, in-person confirmation due to limited capacity will be sent to the first 27 available attendees/speakers earlier than Thursday 10/9 at 8 am EDT

• ​Virtual registration: Open until event start

​ 🎤 Lightning Talks:

• ​Format: 7 minutes followed by 5 minutes Q&A

• ​Speaker list: Selected speakers visible in public sheet [here]

• ​Post-event: Summary with speaker materials posted on LessWrong (with speaker permission)

​💡 Topics/Agenda:

• ​Accelerating discovery of effective safety solutions

• ​Scalable effectiveness predictions for solution candidates

• ​Automating safety research workflow steps

• ​Technical methods to accelerate towards AI safety effectiveness for AI beyond human-level

​We are looking forward to your participation!