This report explores how despite unresolved concerns, an audit-centered algorithmic accountability approach is being rapidly mainstreamed into voluntary frameworks and regulations.
This is a community-based project focused on creating and maintaining a resource for researchers and research operations specialists that will empower people to find out not only what tools are being used, but also in which industry, by what size of teams, and where in the world.
This paper argues that a human rights framework could help orient the research on artificial intelligence away from machines and the risks of their biases, and towards humans and the risks to their rights, helping to center the conversation around who is harmed, what harms they face, and how those harms may be mitigated.
In this blog post, we’ve detailed some of the steps we take to help capture the best data possible when conducting interviews. This post is intended as a guide for people who need to conduct user interviews and for people simply curious about how we work.
The RFI summary report consolidates submissions received from the open-source software community and details twelve activities that members of the OS3I plan—or have completed—in 2024-2025.
The team explored the performance of various AI chatbots and LLMs in supporting the adoption of Rules as Code for SNAP and Medicaid policies using policy data from Georgia and Oklahoma.
This framework is a logical structure for classifying, organizing, and communicating complex activities involved in making decisions about and taking action on enterprise data.
This chart is based on the flow of infection control information from national and state guidance down through healthcare systems and facilities, ultimately reaching frontline healthcare workers.
