10. Our approach to human rights and responsible product development
Five Pillars of Responsible AI
Responsible AI at Meta is built on five pillars:
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Privacy and security
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Fairness and inclusion
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Robustness and safety
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Transparency and control
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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:
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Expand language support
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Our open-source No Language Left Behind effort harnesses AI to
deliver high-quality translations directly between 200 languages.
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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.
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Wikipedia teamed up with Meta AI to fact-check citations
using Meta’s open-sourced AI program, Sphere.
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Address bias
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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.
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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.
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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.
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Better understand problematic content associations
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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
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