Protecting people and businesses with our Responsible AI initiative

We believe that AI should always be used transparently. We will always encourage our clients to be open and honest with their internal teams and external stakeholders about how, and why, they are integrating AI. There are many ways AI transparency can be communicated, including in policies and statements. Our team can support you in obtaining AI transparency through compliancy and policy consultation.

We never condone the use of black box models, in which the data and processes behind a final result are hidden. We use glass box practices in everything we do, ensuring our AI-driven solutions provide clear indications of how results or predictions are achieved. This level of traceability is crucial for data-reliability and building trust in the output of your solution from stakeholders within your business.

The concept of fairness around AI is two-fold. On one hand, we always ensure the information being fed into machine learning models is unbiased, accurate, and complete, to mitigate risk of unfair or inaccurate outcomes. On the other hand, AI should also be used fairly in relation to the people within your organisation – it should be a tool to enhance and optimise what they do, rather than render them redundant.

We are accountable for the AI-driven solutions we deliver, just as businesses are accountable for the solutions they integrate. As part of our accountability principle, we strive to ensure that our solutions are compliant with industry- and government-level mandates relating to data security, robustness, and safety. If you have any concerns about the safety of AI for your business, we encourage you to get in touch.