Regulatory Issues of Data and Algorithms for the Data-Driven Economy

Abstract

Abstract Data and algorithms are the lifeblood of the data-driven economy. Big data and big algo are bringing new challenges and legal issues to the fore. This article deals with some aspects of these issues and tries to put forward an analytical framework for typifying, securing access to and use of data, and ultimately maximizing the generation and flow of data. This article then deals with algorithms and endeavours to propose six principles for auditing algorithms and a brand new international governance framework for algorithms and their auditing via a treaty and relevant mechanisms.