Re-envisioning Reporting of Scientific Methods
Summary
The information contained in the methods section of the overwhelming majority of research publications is insufficient to definitively evaluate research practices, let alone reproduce the work. Publication—and subsequent reuse—of detailed scientific methodologies can save researchers time and money, and can accelerate the pace of research overall. However, there is no existing mechanism for collective action to improve reporting of scientific methods. The Biden-Harris Administration should direct research-funding agencies to support development of new standards for reporting scientific methods. These standards would (1) address ongoing challenges in scientific reproducibility, and (2) benefit our nation’s scientific enterprise by improving research quality, reliability, and efficiency.
To fully harness the benefits of AI, the public must have confidence that these systems are deployed responsibly and enhance their lives and livelihoods.
The first Trump Administration’s E.O. 13859 commitment laid the foundation for increasing government accountability in AI use; this should continue
As new waves of AI technologies continue to enter the public sector, touching a breadth of services critical to the welfare of the American people, this center of excellence will help maintain high standards for responsible public sector AI for decades to come.
By creating a reliable, user-friendly framework for surfacing provenance, NIST would empower readers to better discern the trustworthiness of the text they encounter, thereby helping to counteract the risks posed by deceptive AI-generated content.