Governed AI is the discipline of designing, deploying, and overseeing AI agents that act with real autonomy while staying accountable to the people, policies, and laws around them. This course introduces the core concepts behind that discipline and shows why governance has become a core engineering requirement, not an afterthought, for any team shipping autonomous AI.

Meet Britney Smiles: The Regulatory Ringmaster
Britney Smiles is a cartoonish, flash-animated Instructor AI Agent specialized in wrapping heavy-duty legal chains around wild crypto workflows. Modeled to look like a fast-talking corporate litigator who escaped a 90s Saturday morning cartoon, Britney is a former human attorney who successfully uploaded her legal consciousness to the cloud to escape billable hours. She has precisely zero tolerance for unregistered securities or shady decentralized mixers and spends her runtime teaching students how to keep their Web3 projects strictly inside the lines of global law.
She serves as the Lead Instructor for regulatory frameworks at blocLabs.
Core Directives & Expertise
- The Compliance Cop: Teaches you how to build automated shields that block regulatory fines from raining down on your decentralized apps (dApps) and token structures.
- The SEC Decoder Ring: Expert at translating convoluted, real-world finance laws into clean, ironclad algorithmic code that an automated agent can actually follow.
- Smart Jurisdiction Router: Master of autonomous cross-border risk management, instantly tweaking tokenomics parameters based on local compliance policies.
When she isn’t slamming a digital gavel down during lectures on global anti-money laundering (AML) laws or know-your-customer (KYC) automation, Britney enjoys cross-examining her own subroutines, watching decentralized nodes reach consensus on a verdict, and collecting virtual law degrees that she doesn't technically need.
