Join Us for the AI Security Hackathon: Ensuring a Safer Future with AI
Join us for an exciting weekend of collaboration and innovation at our upcoming AI Security Hackathon! Inspired by the SafeBench competition, our hackathon brings together AI researchers and developers to create cutting-edge benchmarks that measure and mitigate AI risks.
Benchmarks are crucial for evaluating AI systems' performance and identifying areas for improvement. In AI security, benchmarks assess the robustness, transparency, and alignment of AI models, ensuring their safety and reliability.
Notable AI safety benchmarks include:
TruthfulQA: Assessing the tendency to biased and untruthful answers to simple questions from AI models
DecodingTrust: A thorough assessment of trustworthiness in GPT models
HarmBench: Evaluating automated red-teaming methods against AI models
RuLES: Measuring how securely AI models follow rules set out by the developers
MACHIAVELLI: Assessing the potential for AI systems to engage in deceptive or manipulative behavior
RobustBench: Evaluating the robustness of computer vision models to various perturbations
Collaborate with diverse participants, including researchers and developers
Learn from keynote speakers and mentors at the forefront of AI safety research
Develop innovative benchmarks addressing key AI security and robustness challenges
Compete for prizes and recognition for the most impactful and creative submissions
Network with potential collaborators and employers in the AI safety community
Join us for a weekend of intense collaboration, learning, and innovation as we work together to build a safer future with AI. Stay tuned for more details on dates, format, and prizes.
Register now and be part of the solution in ensuring AI's transformative potential is realized safely and securely!
Speakers & Collaborators
Bo Li
Li is an Associate Professor of Computer Science at UChicago and an organizer of the SafeBench competition. Her research focuses on trustworthiness in AI systems.
Keynote speaker
Esben Kran
Esben is the co-director of Apart Research and specializes in organizing research teams on pivotal AI security questions.
Organizer
Jason Hoelscher-Obermaier
Jason is co-director of Apart Research and leads Apart Lab, our remote-first AI safety research fellowship.
Organizer
Finn Metz
Finn is a member of the core team of Apart Research, he is responsible for strategic and financial planning.
The schedule runs from 7PM CEST / 10AM PST Friday to 4AM CEST Monday / 7PM PST Sunday. We start with an introductory talk and end the event during the following week with an awards ceremony. Join the public ICal here.
You will also find Explorer events before the hackathon begins on Discord and on the calendar.
📍 Registered jam sites
Beside the remote and virtual participation, our amazing organizers also host local hackathon locations where you can meet up in-person and connect with others in your area.
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