The narrative surrounding Artificial Intelligence often feels like a race where the starting line was drawn long ago, leaving many institutions to feel they are perpetually playing catch-up. However, at the second annual HBCU AI Con hosted by Huston-Tillotson University in Austin March 10, the atmosphere was not one of desperation, but of quiet, focused authority. The opening day panels didn’t just discuss participation. Instead, they highlighted how Historically Black Colleges and Universities are the current engines of ethical innovation.
Dr. Jennifer Miles, Vice President for Student Affairs at Huston-Tillotson, moderated an intergenerational panel from HBCU students, representatives, and companies from the tech, education, and social justice industries. The consensus was clear at the “Powering the Future: HBCUs as Catalysts in the AI Era” panel. HBCUs do not need to find a way into the AI room because they have already built the foundation through a legacy of ingenuity and lived experience.
A Legacy of Innovation and Human Insight
The unique strength of an HBCU lies in its humanity, a quality often stripped away in purely technical environments.
Philip Butler, Associate Professor at the Iliff School of Theology and a leading voice in Black Posthuman AI Systems, reminded the audience that AI is merely an output system.
"We realize many AI systems are biased, but that can only be a human error," said Butler. "AI is an output system; it can only amplify OUT what we put IN. HBCUs hold the power of innovation.”
“HBCUs are a concentration of genius, ingenuity, and diverse 'othered' lived experience," continued Butler. "We are a wealth of knowledge, experience, and data that can provide more equity to AI design and implementation."
This wealth of knowledge and data is exactly what is required to provide equity to AI design. HBCUs weave the power of humanity into their community, which is a critical feature missing from the current Silicon Valley landscape. To illustrate this relationship, Butler used the analogy of a basketball game. You call the shots, he explained. AI is the teammate. You pass AI the ball, and it passes it back to you with the output. Now the ball is back in your hands. What you do with that information or that data is entirely on you.
The Philosophical Soul: Discernment over Development
The technical ability to build a tool is no longer the only metric of success. Chazara Clark-Smith of the IRS emphasized that the greatest commitment requires the highest level of scrutiny. She challenged the audience to ask not just if they can build something, but whether they should build it. This sense of discernment is crucial as the industry navigates complex, almost spiritual ideas in technology, she said.
Stefan Youngblood, Founder of the Black AI Think Tank, expanded on this by referencing the concept of an "AI Soul" and the "Constitution" documents used by organizations like Anthropic. As some tech circles begin to debate whether AI possesses rights or a soul, the need for HBCU-trained thinkers becomes even more urgent. If the industry is going to grant "rights" to a machine, we must first ensure the rights of the humans behind the data are solidified, he argued. This philosophical layer of AI is where HBCUs have an opportunity to lead; they have centuries of experience navigating systems that claim a "soul" while ignoring the humanity of those who built the foundation.
Youngblood also noted that the barriers to entry are falling. He remarked that individuals no longer have to be traditional programmers to build AI. There are now enough accessible tools for the community to build its own solutions at the intersection of various disciplines, from sociology to social work, he said.
A Balanced Exchange: Corporate Partnership and Self-Sovereignty
The discussion also included a professional yet approachable conversation about finding equilibrium between working with corporations and developing independent infrastructure.
While partnering with global giants offers scale, it also necessitates a conversation about intellectual property and mission alignment. Roy Austin, Director of the Howard Law Artificial Intelligence Initiative, offered a sobering reminder, encouraging institutions to create their own systems and protect their intellectual property as they navigate these partnerships to maintain ownership.
"HBCUs are institutions that believe and weave into their community the power of humanity — a critical feature missing from AI," he said. "We have to create our own and protect our intellectual property, especially before we partner with others and scale too large."
Clark-Smith suggested institution leaders need to rethink partnerships with corporations to ensure they are mutually beneficial for both the partner and the university, saying institutions must encourage students to build and own their creations. This requires a shift in how HBCU career centers and academic departments view success, she said.
“We need to rethink how we partner and what we communicate to students," Clark-Smith said. "We should want to incentivize and encourage them to build and not always sell.”
Dr. Dee Miller, Director of Product Strategy and Insights at Adobe, emphasized that collaboration between industry and community does not have to be framed as an “either-or” decision. Miller herself embodies what she described as an “and” approach — working within a global technology company while also supporting BIPOC-led nonprofits advancing data engineering and AI initiatives. She noted that ethical partnerships require more than corporate presence; they demand investment of resources, sustained effort, and clear intent. Across the panel, speakers agreed that any partnership strategy must ultimately center students, ensuring they have a seat at every table where technology decisions are made.
Locally, Huston-Tillotson is already making strides with its AI certificate program. This program, led by HBCU AI Con Co-Chair and HT visiting lecturer Chris Hyams, serves as a model for how specialized training can be integrated directly into the HBCU curriculum.
Reverse Engineering the Next Century
The session concluded with a call to move beyond the current news cycle and look toward a much longer horizon. Youngblood emphasized the importance of hosting AI conferences in HBCU spaces to keep the conversation centered on the community. Hackathons, panelists said, help share data across institutions and build intergenerational networks that link seasoned experts with curious students.
Butler closed the session with a profound challenge for everyone in the room: Think about what the next 100 years should look like and then reverse engineer it. He urged attendees to think about what it is going to take to get there — What does that future look like for you? What does it look like for others, he asked.
By leaning into curiosity and building relationships with local communities, panelists agreed that HBCUs will continue to ensure that the data reflective of our lives is used to build a future that actually includes us. HBCU students and leaders shouldn’t be relegated to just being participants in the AI era, but should instead serve as its conscience and its catalysts.
