Understanding AI Through Ethics First
We built this program after watching too many people get overwhelmed by technical jargon before understanding why any of it matters.
Instead of starting with algorithms and code, we begin with the questions that actually affect real people. What happens when automated systems make decisions about loans, hiring, or healthcare? Who gets to decide how these tools work?
What You'll Actually Work Through
Six modules that move from fundamental concepts to complex real-world scenarios. Each one builds on the previous, but you can revisit any section whenever you need to.
Bias in Decision Systems
Where bias comes from in datasets, how it amplifies through automated decisions, and why diverse teams catch problems that homogeneous groups miss completely.
Privacy and Data Rights
The difference between collecting data and using it responsibly. What informed consent actually means when most people never read terms of service.
Transparency Requirements
When you need to explain how a system works versus when you can use a black box. Balancing intellectual property protection with public accountability.
Accountability Frameworks
Who's responsible when automated systems fail. How to structure oversight that actually prevents problems rather than just assigning blame afterward.
Global Governance Models
How different countries regulate AI, from Europe's comprehensive framework to sector-specific approaches elsewhere. What works, what doesn't, and why location matters.
Building Ethical Systems
Practical frameworks for evaluating AI projects before deployment. How to spot red flags early and structure teams to catch ethical issues during development.
How the Program Works
Case Study Analysis
Each week starts with a real incident. Not hypotheticals, but actual situations where AI systems had significant impacts on people's lives. You'll dig into what went wrong and what could have been different.
Framework Application
Take the ethical frameworks we cover and apply them to new scenarios. You'll practice making decisions with incomplete information, just like you would in actual governance roles.
Group Discussion
Some of the most valuable learning happens when people disagree about the right approach. Weekly discussions let you test your reasoning against others who see things differently.
Policy Development
The final project has you create governance guidelines for a specific AI application. You'll present it to peers who'll challenge your assumptions and help you refine the approach.
Next Cohort Starts Soon
We run small groups so everyone can participate in discussions. Twelve weeks, with about five hours of work per week. Most people find the time commitment manageable alongside regular jobs.