The future of data is participatory
We help platforms transition to community-driven data management.
Partners
Top-down data annotation systems exclude marginalized communities from ML processes, resulting in unreliable and unsafe algorithms.
We empower communities with the technological tools, educational resources, and facilitation support they need to classify and moderate themselves based on their own community values and norms.
The regulatory landscape is changing.
Legislation to reform Section 230 reintroduced in the Senate and House
2023
EU’s Digital Services Act takes effect
2024
California governor signs law requiring increased moderation transparency
2022
CA Senate Bill 54 (VC DEI reporting requirements) takes effect
2025
Ethical and diverse data models will become increasingly important as the public demands more inclusive online experiences.
Our Services
Define + Address
Identify gaps in your data annotation and/or moderation processes.
Determine tools and approaches needed to improve accuracy and inclusivity on your platform.
Receive a custom plan to reduce costs, comply with regulation, and engage with users.
Consulting
Collaborate
Demonstrate your commitment to user-driven design with expert led co-design sessions.
Gauge stakeholder perspectives on topics such as moderation policy and platform governance.
Design new moderation features alongside users.
Workshops
Build
We design and build custom solutions to annotate data accurately, with insights from users and oversight from our AI models and human moderators
Utilize the Reliabl API to instantly improve existing AI models, or use the Reliabl data library to build custom algorithms for content moderation, DEI initiatives, and more.
Annotation Software
Our Approach
We believe communities are experts of their own content.
By using a bottom-up or participatory approach, community experts are given the opportunity to directly participate in machine learning decisions.
This approach helps to shift power away from centralized groups of homogeneous individuals, and towards more diverse communities. When dealing with complex social issues such as gender, race, and sexuality, viewing data annotation through a social sciences lens is crucial.
Featured podcast
Listen to Reliabl’s founder Annie Brown speak about the challenges marginalized users face when the algorithms powering discoverability are programmed to work against them.