Judicial Secrecy and the Sunshine in Litigation Act
“Far too often, court-approved secrecy agreements hide vital public health and safety information from the American public, putting lives at stake,” observed Sen. Herb Kohl (D-WI).
“The secrecy agreements even prevent government officials or consumer groups from learning about and protecting the public from defective and dangerous products.”
“Legislation that I’ve introduced… seeks to restore the appropriate balance between secrecy and openness. Under our bill, the proponent of a protective order must demonstrate to the judge’s satisfaction that the order would not restrict the disclosure of information relevant to public health and safety hazards.”
Sen. Kohl’s proposed remedy, the Sunshine in Litigation Act, was the subject of a recent Senate hearing that has just been published. See “The Sunshine in Litigation Act: Does Court Secrecy Undermine Public Health and Safety?” (pdf), Senate Judiciary Committee, December 11, 2007.
The Federation of American Scientists supports H.R. 4420, the Cool Corridors Act of 2025, which would reauthorize the Healthy Streets program through 2030 and seeks to increase green and other shade infrastructure in high-heat areas.
The current lack of public trust in AI risks inhibiting innovation and adoption of AI systems, meaning new methods will not be discovered and new benefits won’t be felt. A failure to uphold high standards in the technology we deploy will also place our nation at a strategic disadvantage compared to our competitors.
Using the NIST as an example, the Radiation Physics Building (still without the funding to complete its renovation) is crucial to national security and the medical community. If it were to go down (or away), every medical device in the United States that uses radiation would be decertified within 6 months, creating a significant single point of failure that cannot be quickly mitigated.
The federal government can support more proactive, efficient, and cost-effective resiliency planning by certifying predictive models to validate and publicly indicate their quality.