In January, the Department of Defense ordered the Special Inspector General for Afghanistan Reconstruction (SIGAR) not to publish certain data on areas of Afghanistan that were held by insurgents.
“This development is troubling for a number of reasons, not least of which is that this is the first time SIGAR has been specifically instructed not to release information marked ‘unclassified’ to the American taxpayer,” the SIGAR said in its January 2018 report to Congress.
But the Department of Defense soon reversed course, saying it was an error to withhold that information.
Last week, the SIGAR published an addendum to its January report that provided the previously suppressed data. In addition, a detailed control map and the underlying data for each of Afghanistan’s 407 districts were declassified and published. See Addendum to SIGAR’s January 2018 Quarterly Report to the United States Congress, February 26, 2018.
The basic thrust of the new data is that Afghan government control of the country is at its lowest reported level since December 2015, while insurgency control is at its highest.
“The percentage of districts under insurgent control or influence has doubled since 2015,” the SIGAR addendum said.
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.