A 2023 playback from the city of London’s Office of Technology and Innovation of recent efforts to improve data and technology innovation across the city.
City of London Office of Technology and Innovation (LOTI)
This report examines how states strategically approached managing and administering the historic influx of COVID-19 relief funds for child care and early childhood systems, focusing on governance structures, funding management systems, and data systems
This piece highlights promising design patterns for account creation and identity proofing in public benefits applications. The publication also identifies areas where additional evidence, resources, and coordinated federal guidance may help support equitable implementations of authentication and identity proofing, enabling agencies to balance access and security.
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 post from the Center on Budget and Policy Priorities argues that the traditional measures of program performance say little about the human experience of accessing benefits, and argues for enhanced performance metrics to support more human-centered delivery.
In this piece, the Digital Benefits Network shares several sources—from journalistic pieces, to reports and academic articles—we’ve found useful and interesting in our reading on automation and artificial intelligence.
The Digital Benefits Wishlist collects on tools, resources, or policy changes needed to improve benefits delivery. Originally created as part of BenCon2023, a conference hosted by the Digital Benefits Network, it continues to grow and accept new wishes.
In this interview, Code for America staff members share how client success, data science, and qualitative research teams work together to consider the responsible deployment of artificial intelligence (AI) in responding to clients who seek assistance with three products.
