The Enterprise Single Sign-On (SSO) Playbook is a practical guide to help federal agencies implement or modernize an SSO service for federal employee access to government applications.
The Department of Homeland Security's Biometric and Identity Technology Center (BI-TC) has hosted Biometric Technology Rallies to test new and emerging biometric technologies since 2018. This website hosts information about the 2022 and 2023 rallies.
In 2023, OECD member countries approved a revised version of the Organisation’s definition of an AI system. This post explains the reasoning behind the updated definition.
Organisation for Economic Co-operation and Development (OECD)
This report explores how AI is currently used, and how it might be used in the future, to support administrative actions that agency staff complete when processing customers’ SNAP cases. In addition to desk and primary research, this brief was informed by input from APHSA’s wide network of state, county, and city members and national partners in the human services and related sectors.
American Public Human Services Association (APHSA)
To help policy makers, regulators, legislators and others characterize AI systems deployed in specific contexts, the OECD has developed a user-friendly tool to evaluate AI systems from a policy perspective.
Organisation for Economic Co-operation and Development (OECD)
Government agencies adopting generative AI tools seems inevitable at this point. But there is more than one possible future for how agencies use generative AI to simplify complex government information.
The report beings by briefly describing the challenge that disabled workers face in accessing UI and the benefits of reforming the system to better serve these workers. The report then presents a list of considerations for UI reform in the areas of administrative process and technology improvements as well as considerations for policy change.
This paper introduces the problem of semi-automatically building decision models from eligibility policies for social services, and presents an initial emerging approach to shorten the route from policy documents to executable, interpretable and standardised decision models using AI, NLP and Knowledge Graphs. There is enormous potential of AI to assist government agencies and policy experts in scaling the production of both human-readable and machine executable policy rules, while improving transparency, interpretability, traceability and accountability of the decision making.
