With the exponential growth in the use of algorithms there is an acute need to ensure that such systems are governed appropriately. Indeed, precipitated by high-profile cases of harm, such as bias in Al-driven uses in recruitment and criminal justice contexts, there is an active legislative debate concerning the regulation and risks of AI.

In this paper, we provide an overview of the move towards Responsible Al, with a particular focus on the adoption of cloud technology. We begin by outlining the general risks endemic to algorithmic systems, outlining the potential financial and reputational costs that algorithmic systems can cause to commercial enterprises, particularly as the importance and scope of algorithmic systems increase (section 2.1 ). We then turn to cloud-based AI in particular, to provide a more specific analysis of the risks and benefits of the field (section 2.2). Accordingly, this paper introduces the need for Responsible AI, which we use to denote the field of development towards regulated and safe algorithmic systems. To this end, we envision a new field: algorithmic auditing.