Women in AI Safety Hackathon: Shape the Future of Responsible AI


Details
Join Women in Tech Dubai for a groundbreaking hackathon during International Women’s Day weekend! Collaborate across three tracks to address critical challenges in AI Safety, with mentorship, prizes, and global networking opportunities.
🌟 EVENT HIGHLIGHTS
- $1,800 in prizes ($600 per track)
- $400 in Lambda Labs computing credits for all participants
- Global collaboration with 24/7 Discord support and mentorship
- No prior AI experience required – open to all backgrounds
🛠️ TRACKS & CHALLENGES
- Mechanistic Interpretability (Sponsored by Goodfire)
Dive into AI model internals, steering, and visualization - Public Education (Sponsored by BlueDot Impact)
Create tools to make AI safety concepts accessible - Social Sciences
Explore AI’s societal impact and machine psychology
📅 KEY DETAILS
- Registration: Required at apartresearch.com/event/women-in-ai-safety-hackathon
- What to Bring: Laptop, charger, and any other equipment or any personal items to make yourself comfortable during the long hacking sessions.
🤝 WHY ATTEND?
- Compete for prizes while contributing to AI safety
- Network with global participants via Discord
- Gain hands-on mentorship from industry experts
- Flexible participation: Work in-person or remotely
❓ FAQs
Q: Who can join?
Open to all genders and skill levels – women and underrepresented groups especially encouraged!
Q: How do teams work?
Form teams locally during kickoff or connect globally via Discord’s #projects-team channel.
Q: How do I find the venue?
- By Taxi/Metro: Follow signs for the Boulevard area of Emirates Towers. CodersHQ is on the Ground Floor, opposite Creators Hub.
- By Car: Free parking available here.
Q: Need help?
Access 24/7 support through Discord’s #help-desk or attend mentor office hours.
🚀 READY TO INNOVATE?
Register now and review submission guidelines at apartresearch.com/event/women-in-ai-safety-hackathon. Let’s build a safer AI future together!

Women in AI Safety Hackathon: Shape the Future of Responsible AI