Dr. Timnit Gebru
Founder & Executive Director
DAIR
Artificial Intelligence Track
AI at AfroTech Conference 2026
The Artificial Intelligence Track
The Artificial Intelligence Track at the AfroTech Conference 2026 brings together researchers, engineers, architects, and business leaders shaping how AI is built and used in our communities.
Sessions cover agentic AI, compute and infrastructure, responsible AI, and the shifts AI is bringing to the workforce, with a focus on how these systems get built, deployed, and held accountable in the real world. Join us in Houston, November 2 to 6, 2026.
What You'll Explore
How agents get wired into real workflows, what GPU and compute decisions actually cost, how teams evaluate systems before they ship, and who carries the risk when those systems fail.
Featured Sessions
View All Sessions →- Artificial Intelligence TrackFrom APIs to Agents: How Agentic AI Handles Ambiguity (Live Demo)
- Artificial Intelligence TrackKnow Your Chips: Optimizing AI Compute Without Overspending
- Artificial Intelligence TrackThe Human Cost of Smarter Systems with Timnit Gebru
- Artificial Intelligence TrackWork After AI: What the Data Shows and How to Stay Ahead
Featured Speakers
All Speakers →
Nicole Murray
Sr. Solutions Architect, DGX Cloud (AI Platform Engineering)
NVIDIA
Esosa Osa
Founder and CEO
Onyx Impact
Dr. Andrew Forde
Partner, Head of AI Research
KPMG
Why This Matters Now
Most organizations have stopped debating whether to use AI. The open questions are about cost, infrastructure, evaluation, trust and who benefits from what gets built.
With more than 40,000 attendees, AfroTech is the largest Black tech conference in the world, and this track puts those questions in front of the people building, buying and living with these systems.
See AI in Practice at AfroTech
Browse AI sessions, speakers and times on the 2026 schedule.
View AI Sessions →FAQ
The Artificial Intelligence Track covers agentic AI, AI infrastructure, enterprise deployment, responsible AI, workforce transformation and the social impact of increasingly capable AI systems.
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