A practical resource explaining how to choose and use different fidelity modes in rapid prototyping to align team understanding and streamline design iterations.
The article highlights the federal government's efforts to improve customer experience through collaborative, human-centered approaches and lessons on embracing risk, partnerships, and user-focused design.
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 Code for America article discusses how tax filing can be a powerful tool for economic justice, highlighting efforts to make the tax system more accessible and equitable for low-income individuals.
Though the rhetoric of “waste, fraud, and abuse” is ubiquitous when it comes to welfare programs, low-income households receive little relief from benefits programs. Most efforts to make public benefits systems more “efficient” actually just waste time and money in practice. They instead serve to stigmatize low-income families and chip away at the little assistance that remains available to them.
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.
Takeaways from a workshop focusing on applying human-centered design to government artificial intelligence (AI) projects, led by Elham Ali, Researcher from the Beeck Center for Social Impact and Innovation.
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.
