What AI Regulation Actually Requires of Engineering Teams
Hosted by Dr. Faiz Ahmad
Sat, May 2, 2026
2:00 PM UTC (30 minutes)
Virtual (Zoom)
Free to join
Go deeper with a course

Sat, May 2, 2026
2:00 PM UTC (30 minutes)
Virtual (Zoom)
Free to join
Go deeper with a course

What you'll learn
Classify any AI system into the 4 regulatory risk tiers
Spot the 5 documentation failures that fail audits
Use a 10-item checklist to verify any AI deployment
Why this topic matters
You'll learn from
Dr. Faiz Ahmad
AI Governance Advisor. Penn State PhD. NeurIPS + IEEE research. 300+ trained.
Dr. Faiz Ahmad is an AI Governance and Compliance Advisor who works with
enterprise and AI-native companies on EU AI Act readiness, NIST AI RMF
implementation, agentic systems evaluation, and responsible AI operations.
He holds a PhD in Engineering Science and Mechanics from Penn State, where
he continues active research on certified machine unlearning, fairness under
erasure, and AI governance (with work submitted to NeurIPS and IEEE venues).
His technical depth comes from the research side of AI; his advisory
experience comes from translating that depth into operational frameworks
that engineering teams can actually ship.
He has trained over 300 professionals at top research institutions and
currently leads an AI governance pilot program at Penn State's Engineering
Science and Mechanics department. His advisory engagements span EU
enterprises navigating the AI Act, US AI startups preparing for enterprise
procurement, and Pakistani corporates building digital transformation
programs. He founded The 1% AI Cognitive Fund, the practice through which
he does this work.
Most AI governance content gets taught by lawyers who don't code or
consultants who don't research. Faiz teaches from the intersection:
someone who has shipped production AI, published research on its limits,
and advised teams on what auditors actually look for. If you want to
understand what AI regulation requires of your engineering work, not just
what compliance says about it, this is the person to learn from.
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