Government solicitations to procure custom software are often long, complicated, and take months. By using 18F’s agile contract format, agencies can hire an agile software contractor with a quickly-written dozen-page solicitation, allowing for immense savings in time and money.
This profile provides a cross-sectoral profile of the AI Risk Management Framework specifically for Generative AI (GAI), outlining risks unique to or exacerbated by GAI and offering detailed guidance for organizations to govern, map, measure, and manage those risks responsibly.
National Institute of Standards and Technology (NIST)
Our work with Pennsylvania to implement user experience and user interface changes shows that innovation can be easier to implement than it might seem.
A primer by New America for government entities thinking about embracing open-source solutions. This report is based on interviews with experts in the field, the organization’s work on piloting open source projects with partners around the world, and a review of nearly 50 reports, documents, and resources on the creation and usage of open source software.
This research brief summarizes the ideas and recommendations from sessions with dozens of cross-sector stakeholders within the technology ecosystem to identify conditions for better, healthier, more secure digital ecosystems that could help guide the next generation of open protocols and platforms.
This guiding framework supports thoughtful evaluation of how new digital technology-based proposals can affect the U.S. public sector, with a particular focus on their impacts on human rights, social and economic justice, and democratic values. It will benefit funders, procurement officers, and advocates evaluating proposed projects that are often framed as “tech for good,” “justice tech,” or public interest technologies.
Artificial intelligence promises exciting new opportunities for the government to make policy, deliver services and engage with residents. But government procurement practices need to adapt if we are to ensure that rapidly-evolving AI tools meet intended purposes, avoid bias, and minimize risks to people, organizations, and communities. This report lays out five distinct challenges related to procuring AI in government.
