The Department of Defense has created a new DoD Laboratory Network (pdf) to coordinate existing programs on the assessment of and response to the use of weapons of mass destruction.
The new Network is intended “to provide timely, high-quality, actionable results for early detection, confirmation, response, and effective consequence management of acts of terrorism or warfare involving CBRN [chemical, biological, radiological, and nuclear] agents; infectious disease outbreaks; and other all-hazards agent events requiring a DoD integrated incident response.”
The initiative was set forth in DoD Instruction 6440.03, “DoD Laboratory Network (DLN),” June 10, 2011.
Meanwhile, the U.S. Navy has updated its “Minimum Security Standards for Safeguarding Biological Select Agents and Toxins,” OPNAV Instruction 5530.16A (pdf), 11 May 2011.
The Department of Defense has also issued new guidance on regulating access to classified nuclear weapons information, including the relatively new (2006) category known as “Sigma 20” information, which pertains to improvised nuclear devices. See “Access to and Dissemination of Restricted Data and Formerly Restricted Data,” DoD Instruction 5210.02 (pdf), 03 June 2011.
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.