Through a field scan, this paper identifies emerging best practices as well as methods and tools that are becoming commonplace, and enumerates common barriers to leveraging algorithmic audits as effective accountability mechanisms.
ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT)
This proposal recommends a set of new federal performance standards that would measure and improve UI access. The proposal is intended to supplement existing federal UI standards, but all UI standards and metrics should be periodically reevaluated and updated as the conditions facing unemployed workers and benefit delivery change.
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.
Github repository for Policy Rules Database, which encodes up-to-date rules and provisions for all major federal and state public assistance programs, taxes, and tax credits.
This program letter from the Employment and Training Administration Advisory System, U.S. Department of Labor to State Workforce Agencies highlights the importance of identity verification in ensuring the proper payment of unemployment benefits and provide guidance to states on required administrative procedures.
Employment and Training Administration Advisory System
Applicants to federal aid programs face numerous barriers in accessing benefits they are eligible for. The Centers for Medicaid and Medicare conducted an extensive qualitative user research study to better understand applicant experience in enrolling in public assistance programs. Based on the results, the study emphasizes the need for simplified, streamlined and less burdensome application processes.
The State of Connecticut's policy on Artificial Intelligence (AI) Responsible Use establishes a comprehensive framework for the ethical utilization of artificial intelligence in the Connecticut state government.
The state of South Dakota Bureau of Information and Telecommunications (BIT) designed guidelines for the responsible use of AI-generated content in state government agencies, emphasizing the need for proofing, editing, fact-checking, and using AI-generated content as a starting point, not the finished product.
South Dakota Bureau of Information and Telecommunications
