In May 2020, Stanford's HAI hosted a workshop to discuss the performance of facial recognition technologies that included leading computer scientists, legal scholars, and representatives from industry, government, and civil society. The white paper this workshop produced seeks to answer key questions in improving understandings of this rapidly changing space.
Well-designed, user-focused tools that allow for simple application are key to ensuring that families most in need receive the Child Tax Credit. Reaching these households will require a robust effort from the IRS to create user-friendly tools in partnership with organizations with a direct connection to eligible recipients.
This essay explains why the Center on Privacy & Technology has chosen to stop using terms like "artificial intelligence," "AI," and "machine learning," arguing that such language obscures human accountability and overstates the capabilities of these technologies.
Based on state agency survey responses, this report summarizes key findings from the first calendar year of pandemic response and provides policy considerations for the future of SNAP.
American Public Human Services Association (APHSA)
This tip sheet provides guidance for child welfare and social service agencies on how to effectively and respectfully collect SOGIE (Sexual Orientation, Gender Identity, and Expression) data.
U.S. Department of Health and Human Services (HHS)
Created for use in the Digital Doorways research project, this design stimuli shows the steps of submitting an application, sharing personal information, and verifying identity for Massachusetts' online application for SNAP benefits.
This FormFest profile highlights how the Colorado Behavioral Health Administration redesigned its complaint submission form using empathy, human-centered design, and trauma-informed research methods to make the process more accessible, compassionate, and secure for all users.
