An Airborne Defense Against North Korean ICBMs?
Could an airborne network of drone-based interceptors effectively defend against the launch of North Korean ballistic missiles? A recent assessment by physicists Richard L. Garwin and Theodore A. Postol concludes that it could.
“All of the technologies needed to implement the proposed system are proven and no new technologies are needed to realize the system,” they wrote.
Their concept envisions the deployment of a number of Predator B drones loitering outside of North Korean airspace each bearing two boost-phase intercept missiles.
“The baseline system could technically be deployed in 2020, and would be designed to handle up to 5 simultaneous ICBM launches.”
“The potential value of this system could be to quickly create an incentive for North Korea to take diplomatic negotiations seriously and to destroy North Korean ICBMs if they are launched at the continental United States.”
See Airborne Patrol to Destroy DPRK ICBMs in Powered Flight by R.L. Garwin and T.A. Postol, November 26, 2017.
The asserted role of such a system in promoting diplomatic negotiations rests on certain assumptions about how it would be perceived and evaluated by North Korea that are not addressed by the authors here.
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.