In the rush to implement national security use cases for artificial intelligence and machine learning, policymakers need to ensure they are properly weighing the risks, say experts in the field.
Like all software, artificial intelligence (AI)/machine learning (ML) is vulnerable to hacking. But because of the way it has to be trained, AI/ML is even more susceptible than most software—it can be successfully attacked even without access to the computer network it runs on.