OtherInternal OnlyVerified

Reviewed and published by trentmaziarz, March 23, 2026. Discovered and drafted by our automated research pipeline.

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.

Details

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.

Products affected

Pinterest ML-powered features

Sources & Evidence

Company Disclosure

Company DisclosureVerified

Responsible AI

Pinterest Labs

https://labs.pinterest.com/research-and-innovation/responsible-ai

Cite this record

Trace Foundation. (2026). 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 (data as of 2026-03-23) [Data set record]. AI Trace. https://www.aitrace.org/r/practice/f99e8356-6d7e-4a94-a888-1b2809ba2071. Accessed October 15, 2026.

Stable link: https://www.aitrace.org/r/practice/f99e8356-6d7e-4a94-a888-1b2809ba2071
Data as of: March 23, 2026
Last verified: March 23, 2026

How to cite AI Trace

Other practices by Pinterest

OtherPinterest is testing AI-powered upgrades to its Boards feature that go beyond simple user-organized collections. In October 2025, Pinterest launched an experiment in the U.S. and Canada where the platform automatically generates outfit ideas from a user's saved fashion Pins ("Styled for you"), creates entirely AI-curated boards based on trending styles ("Boards made for you"), and suggests related products based on what a user has already saved ("Make It Yours").OtherPinterest uses AI to identify diverse skin tones, body types, and hair patterns across billions of images on its platform, then uses those signals to ensure that search results and recommendations reflect a broader range of human appearances. Users can filter fashion search results by body type ranges, skin tone ranges, and hair patterns. The body type technology launched in September 2023, with public user filters rolling out in March 2024; skin tone ranges have been available since 2018.OtherPinterest offers augmented reality (AR) try-on tools that let users see what products would look like on themselves or in their homes before buying. Users can try on thousands of lipstick and eyeshadow shades using their phone camera, or see how furniture and home décor items would look in their actual room. The beauty try-on launched around 2020 and the home décor version in January 2022. Pinterest says users are five times more likely to show purchase intent on Pins with try-on enabled.

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