From military service to enterprise tech - an unconventional career path is a feature, not a bug - especially when it comes to building AI

While the business case for diversity has been clear for years, the clarity has not produced urgency. We are currently at a critical inflection point — if we hesitate, customer trust will be impacted because of flawed solutions, or AI systems that fail to meet their needs.

For global technology firms, homogeneous thinking has a specific cost — products designed for a world that does not exist. There have been studies which highlight where bias has become ingrained in tech, including this feedback loop between AI programmes and the people training them, demonstrating how important it is to eliminate bias, but also, how difficult that is. One way of thinking can overlook local regulatory environments, customer constraints and market dynamics, leading to slower adoption, higher compliance risk, and missed opportunity. Teams with diverse experience understand this instinctively, because they have lived it.

By investing in diversity and listening to different voices, organizations ...