Artificial Intelligence and the Law: Five Observations Stanford Law School

September 13, 2019: Brain-machine interfaces (BMI) applications, be they noninvasive (positioned on the body) or invasive (inserted into the body) significantly amplify the liability concerns that we are already familiar with through experience with, for example, implantable medical devices. The liability amplifying variable here is capability: the BMI's potential to cause wide-ranging harm is far greater than a legacy medical device. For instance, injecting a virus carrying nanobots to fight a disease or to carry out another mission is vastly different and carries an intrinsic operational risk that is vastly greater than implanting a pacemaker. Iterative liability, XAI, and the regulation of AI discussed in this post coalesce into a normative and legal safety net that can help mitigate the risks associated with BMI. July 19, 2019: Regulating AI behavior is necessary in order to mitigate harm.