The "Implementing Paid Family and Medical Leave" report examines New Jersey's experience with paid leave programs, offering insights and recommendations for effective policy design and implementation.
This report explores the role that academic and corporate Research Ethics Committees play in evaluating AI and data science research for ethical issues, and also investigates the kinds of common challenges these bodies face.
In this webinar, the Center on Budget and Policy Priorities and the Digital Benefits Network explored key terms related to digital identity, and provided ecosystem-level context on how authentication and identity proofing may show up in the online benefits experience and impact clients.
This is a working list of plain language Spanish translations and recommended usage for common unemployment insurance terms. All content contained in this glossary has been tested and validated for readability and comprehension with Spanish speakers who have limited English proficiency.
This analysis examines the surge in U.S. state-level AI legislation in 2023, highlighting enacted laws, proposed bills, and emerging regulatory trends.
Artificial intelligence promises exciting new opportunities for the government to make policy, deliver services and engage with residents. But government procurement practices need to adapt if we are to ensure that rapidly-evolving AI tools meet intended purposes, avoid bias, and minimize risks to people, organizations, and communities. This report lays out five distinct challenges related to procuring AI in government.
The Advancing Economic Mobility for Low-Income Families report, published by the National Governors Association (NGA) Center for Best Practices, provides policy options for governors to strengthen economic security, workforce participation, and wealth-building opportunities for low-income families.
This playbook is designed to help government and other key sectors use data sharing to illuminate who is not accessing benefits, connect under-enrolled populations to vital assistance, and make the benefits system more efficient for agencies and participants alike.
