I am a lecturer at the University of California, Berkeley, in the Master's Program in Data Science and the Master's Program in Cybersecurity. This website is my personal platform, and all content reflects my own views and opinions, which are not necessarily those of UC Berkeley.
New course in development:
Next Generation AI Governance Leveraging Explainable AI (XAI), Blockchain, and Zero-Knowledge Proofs (ZKPs)
As AI adoption accelerates, companies face increasing pressure to ensure unbiased
decision-making, fairness, privacy, ethics, transparency, trust, and compliance.
This cutting-edge course explores how Blockchain provides an immutable record
of model training provenance, ensuring auditability and accountability,
while Zero-Knowledge Proofs (ZKPs) enable privacy-preserving verification
of training data. Additionally, the course covers leveraging these methods
to prove an AI model is unbiased, ensuring fair and ethical AI systems.
With regulatory scrutiny on the rise, mastering these technologies is critical
for enterprises seeking compliant AI systems.
Includes hands-on Python programming labs using Jupyter Notebooks.
AI Augmented Quantum AI (Using AI to generate Quantum Computing circuits, and in turn, using generated Quantum Computing circuits speed up AI algorithms)
Cryptography (Blockchain, Zero-Knowledge Proofs, Homomorphic, Post Quantum, Quantum)
I've developed a proposed syllabus for a university or college freshman level AI Literacy course designed to be accessible to students from all majors. The only prerequisites are high school Algebra II and basic computer literacy. The course includes optional programming labs, which would require at least one semester of high school level Python programming. The goal is to provide a broad, foundational understanding of AI concepts without requiring a deep technical background, making it approachable for students with diverse academic interests.