Better designs should never come at the cost of another person’s wellbeing. Informed consent is a fundamental part of an ethical research program, which respects participants and protects them from harm.
A practical, research-based handbook from The Lab @ DC that teaches public servants how to redesign confusing government forms through user-centered, evidence-based design methods.
These guidelines provide technical requirements for federal agencies implementing digital identity services and are not intended to constrain the development or use of standards outside of this purpose. This guideline focuses on the use of federated identity and the use of assertions to implement identity federations. Federation allows a given credential service provider to provide authentication and (optionally) subscriber attributes to a number of separately-administered relying parties.
National Institute of Standards and Technology (NIST)
This resource helps individuals with aligning their work with the needs of the communities they wish to serve, while reducing the likelihood of harms and risks those communities may face due to the development and deployment of AI technologies.
These principles and best practices for AI developers and employers to center the well-being of workers in the development and deployment of AI in the workplace and to value workers as the essential resources they are.
This playbook provides government-wide guidance for planning, procuring, and managing digital, data, and technology (DDaT) projects with a focus on innovation, agile delivery, cybersecurity, sustainability, and commercial best practices.
Remote identify proofing is the process federal agencies and other entities use to verify that the individuals who apply online for benefits and services are who they claim to be. If the applicant responds correctly to personal questions, their identity is considered to be verified. However, data stolen in recent breaches could be used fraudulently to respond to knowledge-based verification questions. Alternative methods are available that provide stronger security, but these methods may have limitations in cost, convenience, technological maturity, and they may not be viable for all segments of the public.
In the Fall of 2022, the USDOL Office of Unemployment Insurance Modernization (OUIM) consulted with the Illinois Department of Employment Security (IDES) to provide hands-on support with IT modernization and customer experience strategy. Primary discussions focused on making informed product, service, and business decisions based on qualitative and quantitative data— how might IDES leverage existing data streams to identify the most pressing technology issues in their unemployment insurance system, and how might IDES act upon this information in a timely and impactful manner?
For the past year, modernization teams at the Department of Labor (DOL) have been helping states identify opportunities to automate rote, non-discretionary, manual tasks, with the goal of helping them speed up the time that it takes to process claims. This post provides more context on Robotic Process Automation (RPA) and potential use cases in unemployment insurance.
This interview template includes questions designed to help teams conduct exploratory, semi-structured interviews with government stakeholders involved in program delivery to gather information that can help them evaluate the status quo of digital delivery in their organization.
This post introduces EPIC's exploration of actionable recommendations and points of agreement from leading A.I. frameworks, beginning with the National Institute of Standards and Technology's AI Risk Management Framework.
