A framework to explore ethical issues when using big data analytics on the future networked internet of things

Abstract

The networked future will generate a huge amount of data. With this in mind, using big data analytics will be an important capability that will be required to fully leverage the knowledge within the data. However, collecting, storing and analyzing the data can create many ethical situations that data scientists have yet to ponder. Hence, this paper explores some of the possible ethical conundrums that might have to be addressed within a big data network of the future project and proposes a framework that can be used by data scientists working within such a context. These ethical challenges are explored within an example of future networked vehicles. In short, the framework focuses on two high level ethical considerations that need to be considered: data related challenges and model related challenges.