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.
This guide helps UK public bodies understand how to responsibly procure, develop, and use AI while meeting their legal duties to prevent discrimination and promote equality under the Public Sector Equality Duty (PSED).
In Austin, there are over 2,000 individuals without a safe place to sleep. There are many reasons a person can become homeless, and these reasons range from the lack of affordable housing to the loss of family and community. In 2017, the Innovation Office secured a three-year $1.25m grant from Bloomberg Philanthropies to focus on the city's goal of ending homelessness. The grant funds an i-team to help the city identify the best ways for City Council, departments, and the community to collaborate towards a shared understanding of homelessness in Austin.
This guidebook offers an introduction to the risks of discrimination when using automated decision-making systems. This report also includes helpful definitions related to automation.
This Urban Institute report explores the impact of benefit cliffs, plateaus, and trade-offs on families receiving public assistance, examining how changes in earnings affect access to essential benefits like SNAP, Medicaid, and housing subsidies.
This guide consolidates learning and spotlights principles, insights, and emerging practices to guide municipal leaders and public-private partnerships interested in designing basic income programs that are ethical, equitable, rigorous, informative, and consequential for local, state and national policymaking.
This report examines how the U.S. federal government can enhance the efficiency and equity of benefit delivery by simplifying eligibility rules and using a Rules as Code approach for digital systems.
Drawing on the Beeck Center’s research on government, nonprofit, academic, and private sector organizations that are working to improve access to safety net benefits, this report highlights best practices for creating accessible benefits content.
This policy brief outlines how improved data sharing between federal agencies, state and local governments, and institutions can leverage existing data from other benefits programs to streamline eligibility processes and benefits uptake for the Affordable Connectivity Program (ACP) and other programs.
This policy blueprint outlines six actionable steps for state governments to improve digital identity infrastructure, focusing on security, equity, innovation, and privacy.
This research explores how software engineers are able to work with generative machine learning models. The results explore the benefits of generative code models and the challenges software engineers face when working with their outputs. The authors also argue for the need for intelligent user interfaces that help software engineers effectively work with generative code models.
