With the rapid advancement of AI model capabilities, it is necessary, now more than ever, to test and evaluate AI systems to ensure that it is safe to deploy for its intended use case. While AI developers aim to make models safe, unforeseen vulnerabilities like model hallucinations or bias still exist. As the government looks to adopt and scale their use of AI, it is critical that they are acquiring and using safe, ethical and responsible AI systems.&nbsp;
Scale AI is committed to promoting AI safety. Through our test and evaluation offering, Scale Evaluation, customers can measure AI&nbsp; performance, safety, and reliability using industry-leading benchmarks. Leading commercial and public sector organizations including <a href="https://scale.com/blog/test-evaluation-vision">OpenAI</a> and <a href="https://scale.com/blog/scale-partners-with-cdao-to-test-and-evaluate-llms">CDAO</a> use Scale Evaluation to assess AI safety.&nbsp;
Scale&rsquo;s commitment to AI safety extends beyond our customers.&nbsp;
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Scale played a critical role in shaping the best practices for software security by voluntarily signing the <a href="https://www.cisa.gov/securebydesign/pledge">Cybersecurity and Infrastructure Security Agency&rsquo;s Secure by design pledge.&nbsp;</a>
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Scale is collaborating with the <a href="https://scale.com/blog/scale-joins-us-ai-safety-consortium">National Institute of Standards and Technology</a> in the Artificial Intelligence Safety Institute Consortium.
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Scale contributed a red-teaming platform to the <a href="https://www.whitehouse.gov/briefing-room/statements-releases/2023/05/04/fact-sheet-biden-harris-administration-announces-new-actions-to-promote-responsible-ai-innovation-that-protects-americans-rights-and-safety/">White House-supported DEFCON 31</a> event.
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Scale launched the <a href="https://scale.com/blog/safety-evaluations-analysis-lab">Safety, Evaluations, and Alignment Lab (SEAL)</a>,&nbsp; a research initiative focused on increasing transparency and standardization in safety and compliance for deploying Large Language Models (LLMs) through the development of advanced evaluation and red teaming solutions.
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Scale published a <a href="https://scale.com/blog/measuring-mitigating-risk-wmdp">novel safety evaluation benchmark for LLMs</a>: the Weapons of Mass Destruction Proxy (WMDP) - measuring hazardous knowledge contained by LLMs within domains including biosecurity, chemical security, and cybersecurity.
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These partnerships have helped us improve and refine our test and evaluation approach and maintain the highest standard for AI evaluation. We built Scale Evaluation leveraging <a href="https://scale.com/guides/test-and-evaluation-vision">our deep expertise from developing, fine-tuning, and testing AI models for customers. </a>Scale Evaluation is underpinned by our <a href="https://scale.com/blog/test-and-evaluation-white-paper">T&amp;E white paper methodology</a> that defines an industry-leading technical framework for AI evaluation.
Scale Evaluation equips public sector organizations with the tools required to fulfill the requirements outlined by the Biden-Harris Administration&rsquo;s AI Executive Order and OMB Memorandum. By using the comprehensive suite of tools and resources within Scale Evaluation, agencies can identify AI risks, simulate and measure AI in real-world context, and understand model performance. Furthermore, Scale Evaluation facilitates the assessment and continuous improvement of AI systems, ensuring they are both effective and compliant with federal mandates.
As the landscape of AI evolves, Scale AI continues to define the frontier of safety and standardization in AI deployments. Our rigorous approach through Scale Evaluation, combined with strategic partnerships and initiatives like SEAL, underscores our unwavering commitment to advancing AI safety and reliability.<a href="https://scale.com/evaluation/public-sector"> Learn more about how Scale Evaluation can support your agency's responsible AI needs today.</a>

Responsible AI with Scale Evaluation for Public Sector