AI Security Evaluation Sprint: Measuring AI Capability

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.

Why Benchmarking Matters

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
• 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
• The Weapons of Mass Destruction Proxy benchmark also informs methods to remove dangerous capabilities in cyber, bio, and chemistry.

What to Expect

During the hackathon, you'll:

• 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!