The Bugcrowd Platform has introduced AI Bias Assessments, a new offering to help enterprises and government agencies adopt Large Language Model (LLM) applications safely and productively. This service uses private engagements on the platform to activate trusted hackers to identify data bias flaws in LLM applications, with rewards for successful demonstrations of impact. The assessment is applicable across various industries, but particularly important in the public sector due to the US Government's mandate for AI safety guidelines, including data bias detection by March 2024. Data bias can occur in LLM applications due to stereotypes, misrepresentations, and prejudices in training data, leading to unintended behavior that can add risk and unpredictability to adoption. The Bugcrowd Platform's AI Bias Assessments use a reward-for-results approach with validated triage and prioritization by the platform's engineered service, offering clearer line of sight to ROI for customers like Tesla, T-Mobile, and CISA. This service has been successful in uncovering high-impact vulnerabilities, including those for LLaMA, Bloom, and private models, and is being leveraged by government agencies such as the US Department of Defense's Chief Digital and AI Office (CDAO) to define and manage AI Bias Bounty programs.