Why Diversity Matters in Autonomy
Introduction
A company’s definition of diversity will always vary. Diversity is not only defined by race, age, religion, or ethnicity. It can also be defined as varied perspectives, differing experiences and multiple approaches to the same problem. What diversity gives to an organization is monumental. Studies have shown that companies with greater diversity in their teams are +30% more likely to financially outperform their industry peers (McKinsey & Company). At BlueSpace, we aim to enable autonomy for all, by providing software that works across various modes of transportation - private passenger vehicles, public transportation, and more. Solving for scalability and accessibility of autonomy can only be done by building a diverse team.
BlueSpace and Diversity
BlueSpace was built on diversity, with a small team coming from all walks of life, backgrounds and experiences. The mandate for diversity at BlueSpace starts from the top, with co-founders Christine Moon and Joel Pazhayampallil, who come from differing careers, schooling and home countries. Why is this important? BlueSpace.ai recognizes that the needs of the customer are best met when the team resembles the diversity of the market, so the services the company develops incorporate the perspectives of partners and end users everywhere. As we work to solve the most challenging part of autonomy (endless edge cases), diversity in thought and problem solving is the only way to innovate and grow. Our goal of building an autonomous future, where mobility is easily accessible by all, can only be met if our team is intimately familiar with those global mobility needs. The insight necessary must come from our diverse lived experience - so we can build a global solution for a global mobility problem, not just a Silicon Valley one. This commitment is core to our technology approach.
We are solving the edge cases first - to make sure autonomous technology is safe the first time and every time it is on the road. Systems relying too heavily on training data, largely collected in limited or at times leaving out the marginalized areas where access is even more limited, inherently biases these systems to the “average” demographics encountered in those areas. While this works for initial deployments - this also limits the scalability of the technology to a wider socioeconomic customer base, and ultimately, may limit the benefits of autonomous technology to a narrow audience.
At BlueSpace, we’re growing the next generation of thought leaders in AV globally and are looking for curious-minded individuals to come join us!
Want to learn more, please ping us SeatOnTheRocketship@bluespace.ai
See open roles here: https://www.bluespace.ai/careers