In a recent Lexxion Delphi publication tackling Cyberwarfare, AI and Democracy and Digital Platforms
Gapsquare's CEO & CTO share how artificial Intelligence, machine learning and other technologies are profoundly changing how we live today. These new technologies & developments are at the forefront of conversations about future workplace dynamics and are set to revolutionise and streamline inclusivity in many industries.
Unfortunately, it is increasingly clear that old biases are being built into AI and machine learning. As Zara Nanu, Gapsquare's CEO argues in Delphi, emerging technology is based on existing biased data, and therefore mirror these biases. Take, for example, Amazon’s scrapped AI recruiting tool, which was created to optimise hiring by observing patterns in successful CVs and looking for these in prospective applicants. Because the bulk of previously successful CVs came from men– reflecting the male dominance in the tech industry – the tool learnt to hire people from this same demographic.
For the team at Gapsquare, now is the time to ensure AI is less biased, more inclusive and fair and represents the best of what it means to be human. AI needs to open doors for a wider range of people and it needs to learn to look beyond old approaches and bias-filled data.
To achieve this, argue the Gapsquare team, we must start by improving diversity within the tech sector through a combined effort between educational systems, governments and HR in tech industries in order that these technologies are being created by diverse people and reflect unbiased data.