Code & Conscience #002: Black Contributions to AI


Erica Stanley

Engineering Leader, Community Builder, Speaker, Contributor

Code & Conscience #002

Code & Conscience is my way of thinking out loud with friends (that’s you, btw) about how we as technologists–builders, creators, leaders–impact the world around us with what we choose to build and how we build it.

In this Issue

👩🏾‍💻

Black Contributions to AI

My celebration of BHM continues with Discussions, Spotlights, & Book Recommendations

💡

DOGE & The Tech Meritocracy Myth

Bonus Discussion, because the news is upsetting me and my homegirls

📘

How Technologies Divide Us

And Other Stories Around the Web

Black Contributions to AI

Tech is not neutral, especially not AI. Given that our systems and institutions tend towards racism, AI and ML systems quickly veer in the same direction. This is why we see AI systems amplify racial discrimination in employment, housing, and criminal justice. As the world continues to adopt AI for simple and complex tasks, you start to wonder: Could I be denied a role I was qualified for because of algorithmic bias? Could I be denied critical healthcare? Will I ever be wrongly accused of a crime due to inaccurate facial recognition systems? Will my social media content be shadowbanned because of my race? These are important questions to bring to the forefront as reliance on algorithms to make sensitive decisions is on the rise.

So how do we create and develop AI systems that redress systemic bias and racial discrimination? I would argue that for AI systems to be fair and unbiased to Black people, Black technologists must play an active role in creating and developing AI. Our lived experiences with systemic racism give us an edge in building technology that works for us, not against us. We must play an active role in creating the equitable future we want to see.

Timnit Gebru, Fay Cobb Payton, Mark Dean and Chinasa Okolo are a few people making significant contributions to the design and application of technology, in ways that prioritize equity, justice, and human dignity. You can be a part of this move by:

  1. Understanding how AI applies to your current role
  2. Researching and building truly inclusive technology
  3. Funding research programs and startups doing good work
  4. Advocating for policies that promote equity and inclusion in AI
  5. Joining Black AI coummunities like BAI.

Atlanta's Black AI Experts

Atlanta is home to several Black AI experts that are making significant contributions to the field. Here's a glimpse into some of our local leaders:

  • Candace Mitchell: Candace is the founder of Myavana, an AI-driven hair care technology company providing personalized hair care solutions.
  • Derek Johnson: As CEO of Ekow Solutions Group, Derek champions human-centric AI design, ensuring tech serves people effectively.
  • Kesha Williams: With nearly three decades of experience, Kesha is an award-winning technology leader focused on AI and cloud computing. She is committed to ethical AI practices.
  • Liberty White: As CEO of CHOZEN MEDIA, Liberty integrates AI with marketing strategies, creating engaging digital experiences and advocating for women in business and tech.
  • Jairobe McPherson: At Google Cloud, Jairobe empowers organizations to use machine learning solutions, advocating for responsible AI practices.
  • Jerome Hardaway: A veteran and software engineer, Jerome is known for his AI work and his non-profit, Vets Who Code, which helps veterans develop software skills.
  • Tara Walker: A Principal Software Engineer at Microsoft, Tara specializes in AI and robotics, sharing her expertise with other developers.

These individuals are not only experts in their fields but also advocates for inclusivity, ethical practices, and empowering others in the tech community.

Driving AI Innovation from the Margins

According to the McKinsey Institute for Black Economic Mobility, Generative AI is most likely to automate roles that Black workers are overreperesented in. That is, office support, production work, food services, mechanical installation, and repair. This means if we do not become proficient in our understanding of AI, and actively contribute to it, we could be left behind and excluded from solutions that impact our communities the most.

Spotlight

Dr. Alondra Nelson

Dr. Alondra Nelson is a distinguished academic and public servant. She is the Harold F. Linder Professor at the Institute for Advanced Study and a distinguished senior fellow at the Center for American Progress.

Dr. Nelson served in the Biden-Harris administration as the first African American woman to lead U.S. science and technology policy

Bonus: DOGE and The Tech Meritocracy Myth

Elon Musk's attempt to streamline the government with the Department of Government Efficiency (DOGE) was more of a dumpster fire than a well-oiled machine. This whole debacle confirms what many have suspected: the tech and VC world's supposed meritocracy is a myth.

DOGE, was meant to be a shining example of Silicon Valley efficiency in action. Instead, it became a case study in incompetence, with databases left wide open and classified intelligence data leaked for all to see. The idea that "easily manipulated Stanford dropouts" could run the government better than experienced civil servants blew up in spectacular fashion. 🍿

But this isn't just a one-off incident. Ellen Pao, former Reddit CEO, has long argued that the tech industry's meritocracy is a "myth," where hard work and talent don't guarantee fair treatment. Systemic biases and inequities persist, especially for marginalized groups.

Del Johnson, a venture capitalist, notes that VCs like to believe they have superior investment skills, but research suggests otherwise. Investment decisions often have "little or no skill either in the short or long term". This concentration of capital in the hands of a few, mostly homogenous, individuals leads to groupthink and excludes promising entrepreneurs from outside the tech hubs and billionaire networks. What happens to society when a select, highly-privileged few control what technology gets built, who builds it, and who benefits from it? Exactly what we're seeing today--a tech-fueled oligarchy.

The DOGE experiment, along with broader issues in tech and VC, highlights the urgent need to dismantle the myth of meritocracy and address the systemic problems that prevent true equality of opportunity across the industry.

Upcoming Events

CTO Craft Con

March 10 - 11, 2025 | London

The ulimate gathering for CTOs and aspiring tech leaders

Join me as I explore The CTO as a Global Citizen in my keynote, and lead a Culture Mapping Round Table.

Women + AI Futures

March 17 - 21, 2025 | Atlanta

Join REFACTR.TECH for Women + AI Futures Week, an inclusive summit in Atlanta (with select online sessions) where women from all industries and career stages come together to learn, connect, and lead in the world of AI.

On My Bookshelf

AI Books by Black Authors

Book Cover: Unmasking AI by Joy Buolamwini Book Cover: The Promises and Perils of AI in Education: Ethics and Equity Have Entered The Chat by Ken Shelton and Dee Lanier
Book cover: Mitigating Bias in Machine Learning edited by Carlotta A. Berry and Brandeis Hill Marshall Book Cover: Data Conscience Algorithmic Siege on Our Humanity by Brandeis Hill Marshall

Around the Web

👩🏾‍💻 Beyond DEI Statements: How to Actually Evaluate Company Culture

📖 How Technologies Divide Us: A Q&A with Nicholas Carr | TechPolicy.Press

📖 DeepSeek and the Future of AI-Driven Security: Balancing Innovation, Security, and Global Regulation

📖 The LLM In The Room – Codemanship's Blog

📖 Agentic AI and the MCP Ecosystem

▶️ When AI Competes: Deepseek Vs Open AI Explained by Josh Johnson

"We have to understand what we're making as we make it. And my fear with AI is that we get so excited to be ahead--we get so excited to be in this, arms race of intelligence, that we're not really thinking about where it's going to take us, we haven't planned for it."
- Josh Johnson, Comedian

Code & Conscience

This is my way of thinking out loud with friends (that’s you, btw) about how we as technologists–builders, creators, leaders–impact the world around us with what we choose to build and how we build it.

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