What Black History Teaches Us About Technology, Leadership, and Responsible AI

As a Black woman in technology, Black History Month carries personal and professional meaning for me. It is an opportunity to recognize the contributions of innovators who helped build the very infrastructure that powers today’s digital world, contributions that are too often overlooked.

It is also a moment for reflection.

Despite measurable contributions Black Americans have made to science, computing, telecommunications, and enterprise technology, representation in leadership and influence within tech remains unbalanced. Recent labor statistics show that Black professionals in the US comprise approximately 7% to 8% of the tech industry. Research from Harvard Business School highlights persistent pay disparities and workplace inequities affecting Black professionals. The Economic Policy Institute has reported that nearly 40% of Black workers with a college or advanced degree are employed in roles that do not require that level of education, often due to structural barriers such as biased hiring practices and unequal performance evaluations. These patterns are not just workforce issues. They are innovation issues. In an industry increasingly responsible for designing automated decision systems, representation at both the development and leadership levels matters.

When access to opportunity is lopsided, innovation suffers. When talent is underutilized, organizations leave insight, creativity, and strategic advantage on the table.

That is why Black History Month is not just about honoring the past. It is about understanding the present.

To understand what is at stake, it is worth remembering that modern innovation did not emerge from a narrow set of voices: 

• Granville Woods- A great inventor, specifically known for numerous patents related to electrical systems and railway communication, helping modernize the transportation infrastructure.

• Katherine Johnson- A mathematician whose calculations as a “human computer” were critical to NASA’s early space missions. Her precision and validation practices mirror what we now call data integrity and model verification, making AI today possible.

• Dr. Mark Dean- A computer engineer who holds three of IBM’s original nine PC patents and helped shape the architecture of personal computing, the infrastructure that now supports today’s data systems and AI environments.

• Dr. Shirley Ann Jackson- A scholar responsible for research at Bell Labs that contributed to advancements in telecommunications, laying groundwork for touch-tone phones, caller ID, fiber optics, and ultimately, global connectivity.

• David Lloyd Steward- Founder and chairman of World Wide Technology (WWT). David grew WWT into a global systems integrator that supports enterprise IT, cloud computing, cybersecurity, and telecommunications for Fortune 500 companies and government agencies.

And more recently, 

• Tope Awotona- The founder and CEO of Calendly, the scheduling platform that is used globally and has grown into a billion-dollar business.

• Timnit Gebru- The founder of the Distributed AI Research Institute (DAIR) and co-founder of Black in AI, she has been a leading voice in AI ethics, algorithmic accountability, and responsible development.

Black history teaches us something important about the moment we are in, that talent has never been the issue. Access, inclusion, and recognition have been.

As organizations reassess or scale back diversity initiatives, it is worth considering how those decisions influence the perspectives shaping AI systems that are now making decisions on  access to opportunity, capital, care, and protection. 

As we design the next generation of AI systems, data governance frameworks, and enterprise technologies, we all can choose to acknowledge that innovation thrives where diverse perspectives are valued, or merely continue to tolerate the status quo. 

Black History Month invites us to reflect on that choice.