Many of the hundreds or thousands of reports that are submitted to Congress by executive branch agencies each year may be published online pursuant to a provision in the new Consolidated Appropriations Act (HR 1158, section 8092).
That provision states that any agency that is funded by the Act shall post on its website any report to Congress “upon the determination by the head of the agency that it shall serve the national interest.”
The impact of the latter condition is unclear, particularly since no criteria for satisfying the national interest are defined. In any case, reports containing classified or proprietary information would be exempt from publication online, and publication of all reports would be deferred for at least 45 days after their receipt by Congress, diminishing their relevance, timeliness and news value.
Reports to Congress often contain new information and perspectives but they are an under-utilized resource particularly because they are not readily available.
Some otherwise unpublished 2019 reports address, for example, DoD use of open burn pits, political boycotts of Israel, and the financial cost of war post-9/11.
The newly enacted FY2020 national defense authorization act alone includes hundreds of new, renewed, or modified reporting requirements, according to an unofficial tabulation.
Commercial artificial intelligence tools have recently emerged that are able to produce police reports. If the resulting reports are inaccurate, incomplete or biased, or if the process leaks confidential information, this could undermine the criminal justice system and harm citizens.
Too often, affected patients, clinicians, and regulators cannot see how the system works, why a decision was made, or whether meaningful human oversight occurred.
Existing tools from other domains, such as existing robust public engagement processes in drug development, when applied to AI deployment can help strengthen public trust in these systems and enhance perceptions of their legitimacy and the decisions they produce.
With thoughtful policy action, it is still possible to build systems that are fair, transparent, and accountable, and to earn the public trust that will ultimately determine AI’s future. We hope policymakers are ready to act.