Impact of Artificial Intelligence on Diversity, Equity and Inclusivity
Dr Jenny Tan17 Jun 2026 · 1 min read · First published by SheLeadsTech Singapore
Artificial intelligence is reshaping how organisations hire, promote, assess risk and serve customers. This piece examines both sides of that change for diversity, equity and inclusion: AI's potential to remove friction for under-represented groups, and its tendency to encode and amplify the biases hidden in historical data.
Jenny draws on her governance and audit lens to ask the questions boards should be asking: Where did the training data come from? Who tested the model, and for whom? Which decisions are automated, and who can challenge them? Without clear accountability, 'the algorithm decided' becomes a convenient way to avoid responsibility.
The article also reflects on the opportunity for women in technology. As AI changes the skills organisations value, programmes that convert and upskill talent — such as SheLeadsTech — become more important, not less. Inclusion is not only a fairness issue; it is a resilience issue, because diverse teams are better at spotting the risks homogeneous teams miss.
Key takeaways
- Treat AI bias as a governance risk with named owners, not a purely technical defect.
- Diverse teams and inclusive design are practical controls against blind spots.
- Upskilling and conversion programmes keep the door open as the skills mix shifts.
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