10. Our approach to human rights and responsible product development Five Pillars of Responsible AI Responsible AI at Meta is built on five pillars: • Privacy and security • Fairness and inclusion • Robustness and safety • Transparency and control • Accountability and governance We’ve made progress in addressing many of these issues, and there remains much work to be done. In 2022, we worked to: • Expand language support • Our open-source No Language Left Behind effort harnesses AI to deliver high-quality translations directly between 200 languages. • Our Massively Multilingual Speech (MMS) recognition model supports speech-to-text and text-to-speech for 1,107 languages and supports language identification for over 4,000 languages. Some of the supported languages, such as Tatuyo, have only a few hundred speakers, and for most of these languages, no prior speech technology exists. We publicly share the models and code. • Wikipedia teamed up with Meta AI to fact-check citations using Meta’s open-sourced AI program, Sphere. • Address bias • In our drive toward ensuring that AI systems treat everyone fairly, we introduced and open-sourced several datasets and models responsible for addressing this gap in privacy-protected ways. • We trained an AI model for reducing demographic biases in text — a demographic text perturber — which can help break stereotypical associations present in natural language programing (NLP) data. • We introduced and open-sourced two new datasets to help measure fairness and mitigate potential bias in NLP models. These datasets include a more comprehensive representation of different demographic dimensions to measure fairness in these models, including terms for gender identity, age, race, and people with disabilities. • Better understand problematic content associations • We assembled a cross-disciplinary team, including people from our Civil Rights, Human Rights, Engineering, RAI, AI Research, Policy, and Product teams, to better understand problematic content associations in several of our end-to-end systems. We worked to Human rights report 51

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