Gender Diversity in AI

Mai-Britt Poulsen Matias Pollmann-Larsen Jacob Hansen Sofie Bertram

AI technology will come to transform the competitive landscape in the 2020s. In a 2019 BCG and MIT Sloan Management Review Study, nine out of ten global executives recognized the opportunity AI represents, and 45% perceived it as a competitive risk if not pursued. However, AI is not intelligent on its own. It combines endless memory with a lot of trial and error it relies on humans to feed it data and train it - and is therefore perceptive to biased data or the biases of the person creating the algorithm.

A recent BCG study investigates the interlinkages between diversity in AI. Both when it comes to challenges, which include bias in data, lack of diversity in the AI industry, functional bias and ethics of discrimination. But also how AI can be used as a tool to strengthen diversity and thereby unlock value for companies and organizations. As Danish companies and organizations are uniquely positioned to adopt AI-powered offerings in a relative immature market, they must ensure to evaluate ethics and diversity consciously and continuously in their AI solutions, from strategy development to implementation and beyond.

It is in the interest of companies, organizations as well as the broader society to limit the risk of bias in AI and leverage it to strengthen gender diversity in Denmark.