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)

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AI Governance and Risk Engineering
Faiz Ahmad, PHD
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What you'll learn

Classify any AI system into the 4 regulatory risk tiers

You'll see the 4-tier framework underpinning EU AI Act, NIST RMF, and state laws. Then classify your own system live.

Spot the 5 documentation failures that fail audits

We'll tear down real model cards, data lineage docs, and monitoring dashboards to show where auditors actually look.

Use a 10-item checklist to verify any AI deployment

A pin-to-your-desk compliance checklist you can apply Monday morning to any AI system in your organization's pipeline.

Why this topic matters

AI regulation enforcement is no longer hypothetical. Colorado's AI Act is active. NYC has enforced bias audits since 2023. NIST AI RMF is showing up in enterprise contracts. Fines reach $35M or 7% of global revenue under EU AI Act. Engineering teams have weeks to translate legal language into production systems. Closing that gap is the difference between shipping and stalling.

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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