Artificial intelligence (AI) is being adopted and integrated into our daily lives, from voice recognition tools to recommendations on streaming services, and is increasingly being applied in high-stakes contexts such as recruitment and insurance. As the use of these technologies proliferates, it is important that there is transparency around the data the systems use to generate outputs and that the decisions made are explainable and their implications communicated to relevant stakeholders. In this blog post, we examine what is meant by AI transparency and explainable AI and outline how they can be implemented through both technical approaches and governance approaches.

The definition of AI transparency