Whats on your Tensors? A Design exploration of applied artifical intelligence to help facilitate digital equity.

In the internet saturated world, our lives are increasingly mediated by digital technology and algorithms. The news we read, the songs we hear and even the bills we pay are all routed to us via artificially intelligent systems. As services, occupations and aspects of daily life move online the impact of inequalities in access to digital information and its outcomes have become apparent. Machine learning already serves as the foundation for much of our digital infrastructure. The increasingly widespread application of this technology has raised concerns about its propensity to reproduce and reinforce systemic bias. Recent developments in training techniques have facilitated the release of models with broad potential application without the need for explicit training. This research explores how applications of machine learning might be designed to help facilitate more equitable access to digital information.