Embedding Evidence and Evaluation in Economic Recovery Legislation
Summary
The COVID-19 pandemic has had devastating impacts on communities across the country. Tens of millions of people lost jobs and millions of school children have fallen behind. To help people recover from the effects of the pandemic, the next administration should invest in proven solutions by working with Congress to embed evaluation and evidence-building into economic stimulus legislation, strengthening the foundation for an equitable and efficient recovery.
The new administration and Congress should ensure that any forthcoming economic stimulus legislation include provisions requiring commitments to build new evidence and utilize existing evidence. Specifically, the administration should establish a task force coordinated by the National Economic Council to:
- Work with agencies and Congress to set aside a portion of recovery resources (up to 1%) for evaluation and evidence-building, based in part on agency learning agendas created in response to the Evidence Act.
- Create a National Economic Mobility Innovation Fund at the U.S. Department of the Treasury.
- Empower the Office of Evaluation Services (OES) within the General Services Administration (GSA) to help agencies develop evaluation and evidence-building capacity.
- Create Excellence in What Works in Economic Mobility Awards.
These strategies, which we are collectively calling a “Stimulus Evaluation Act,” should be integrated into current and future economic recovery efforts.
These ideas aim to advance the detailed policy solutions needed to foster public trust and implement fairness in the adoption of AI across diverse domains, from healthcare and government benefits to rural access, education, and worker protections.
The evidence is clear: algorithmic pay-setting is established in app-based work, and payroll/timekeeping failures show how software can produce systemic wage harm at scale
While a few states have taken steps to implement decision-making mechanisms for certain AI systems, too many leaders are simply accepting narratives about AI’s purported public benefit at face value – jumping to the “how” of AI implementation before thoroughly vetting potential systems and deciding whether they are appropriate to use at all.
When properly structured — with specific numeric targets, secured financial obligations, independent monitoring, and meaningful enforcement — CBAs transform data center deals into durable community partnerships.