Taking an international law perspective, Ashley Deeks, Noam Lubell, and Daragh Murray highlight the potential legal, policy, and ethical challenges that will arise as governments inevitably begin to employ artificial intelligence and machine learning algorithms to inform their use of force decisions. The authors identify critical questions states should contemplate before developing such algorithms, underscoring that machine learning algorithms could both improve the accuracy of use of force decision making and present negative consequences for states, and recommend prophylactic measures for states as they develop and eventually deploy these tools.
Legal analysis of the now much maligned “war on terror” has been a growth industry since the events of September 11, 2001. Despite this, how best to respond to and regulate terrorism remains a contested debate intellectually and practically. This article dives into that empirical gap by providing unique data on the operation of detention, arrest, and trial regimes created to counter and manage terrorism in the United Kingdom.
The Equifax hack, which impacted nearly half of the U.S. population, should be viewed as a triggering event for worthwhile government reform and increased public-private cooperation, creating a model that is both scalable and adaptable to multiple industries. Framed by the Equifax data breach, McKay Smith and Garrett Mulrain focus the reader on the national security implications of attacks on the American consumer economy, perpetrated by cybercriminals and hostile nation states. This article provides a detailed analysis of government oversight efforts and contains a novel and creative proposal for reform, intended to serve as a blueprint for widespread, whole-of-government action. In a pragmatic call for reform, Smith and Mulrain recommend seven concrete steps that government can take to demonstrate a renewed commitment to protecting its data, and the data of its private citizens, from malicious foreign adversaries.