Insights
Making Federal Reports Usable for AI
The United States (U.S.) government publishes millions of pages of reports annually—a cornerstone of democratic accountability and transparency. Yet despite being publicly available, much federal reporting data is not readily usable for modern analysis, including...
Accessing PIA’s AI Resources Just Became Easier – Introducing PIA Connect
At the Program Integrity Alliance (PIA), our mission is to strengthen integrity in government through data, evidence, and collaboration. To advance that mission, we’ve developed tools like Recommendation Spotlight and GovQuery, which make complex public data easier...
GovQuery: the Program Integrity Alliance’s new search engine
Why GovQuery Government produces vast amounts of information, but much of it is scattered and hard to search. GovQuery, our custom search engine, brings together key sources in one place to make this knowledge easier to find and use. Coupled with AI capabilities,...
For the Program Integrity Alliance, AI-powered starts in-house
Making use of AI isn’t just about leveraging chatbots. One of the most profound impacts today is in software development. In the past 6 months, AI-assisted coding has advanced rapidly, helping organizations to build more software with fewer resources. For new nonprofits like the Program Integrity Alliance (PIA), this evolution is a game changer. It’s helped us move faster and grow in ways that wouldn’t have been possible even two years ago.
In the article below, we share how PIA has expanded its capacity to build new software with the support AI, guided by key principles with human firmly in the loop.
Program Integrity Alliance’s AI Strategy: Future-Proofing with the Model Context Protocol
Custom AI Can Age Fast With a great deal of Fear of Missing Out (FOMO), thousands of organizations around the world committed to developing custom in-house solutions using Generative AI (Gen AI). Soooo many chatbots. 🙂 It’s understandable, the power of Large...
Balancing Data Sharing and Privacy to Enhance Integrity and Trust in Government Programs
Data can fight fraud, but only if we break down silos without breaking trust. This paper explores how the federal government can expand data sharing to prevent fraud while upholding privacy, outlining a path to smarter, safer governance. Find the paper...
Prioritizing Prevention: Value-for-Money in Anti-Fraud Efforts
The U.S. loses hundreds of billions annually to fraud in public programs, yet anti-fraud policy still relies heavily on “pay and chase” enforcement and recovery. A Value-for-Money (V4M) approach offers a better standard for evaluating anti-fraud efforts by...
Our approach to improper payments is failing; the 2024 numbers explain why
This op-ed by PIA's co-founders examines why the federal government’s reported drop in improper payments for 2024 may be misleading, driven more by methodology changes than actual progress. It calls for reforms to replace compliance-focused reporting with...
