This blog post shares five key service design lessons from U.K. experts Lou Downe and Sarah Drummond, offering practical guidance for building more connected, user-centered government services in British Columbia.
This blog explores the rise of person-centered insights in policymaking, featuring an overview of its benefits and expert interviews highlighting its crucial role in effectively delivering public benefits and human services.
Companies have been developing and using artificial intelligence (AI) for decades. But we've seen exponential growth since OpenAI released their version of a large language model (LLM), ChatGPT, in 2022. Open-source versions of these tools can help agencies optimize their processes and surpass current levels of data analysis, all in a secure environment that won’t risk exposing sensitive information.
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 article discusses how Code for America enhanced the CalFresh application process to better assist self-employed individuals in accessing their full benefits by clarifying self-employment definitions and simplifying income verification.
This report evaluates state government websites for the Supplemental Nutrition Assistance Program (SNAP), providing links to each state's site and assessing the information and services they offer.
This collection of research references is designed to support government agencies designing public-facing identity management processes that meet people’s needs.
It is frequently assumed that when rules are implemented as code, a rules engine is necessary. However, it is possible for policy people and engineers to effectively work together to code logic that drives technological system without needing a mediating rules engine at all.
