Pinterest: Pinterest maintains an internal program called Responsible AI that covers three areas: building inclusive AI features (the skin tone, body type, and hair pattern tools described in Practice 21), testing its AI systems for unfair bias (using internal tools that measure whether models perform equally well across different groups of users), and developing guidelines for the safe use of generative AI. The program includes red teaming — structured attempts to find flaws or harmful outputs in AI systems before they launch. | AI Trace
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Pinterest maintains an internal program called Responsible AI that covers three areas: building inclusive AI features (the skin tone, body type, and hair pattern tools described in Practice 21), testing its AI systems for unfair bias (using internal tools that measure whether models perform equally well across different groups of users), and developing guidelines for the safe use of generative AI. The program includes red teaming — structured attempts to find flaws or harmful outputs in AI systems before they launch.
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The ML fairness component uses internal tooling that segments model performance by user demographic characteristics and visualizes disparities using fairness metrics. Pinterest's engineering teams are required to run fairness assessments on machine learning models before deployment. The generative AI safety component includes evaluation frameworks and mitigation strategies developed in response to risks introduced by generative AI features like Canvas and the Pinterest Assistant. Pinterest participates in the Digital Trust and Safety Partnership (DTSP) GenAI Working Group and co-founded the Inspired Internet Pledge with Boston Children's Hospital focused on child online safety.