Decision models: Making AI decisions auditable before deployment
Show me the decision logic. Not a vague explanation. An actual specification.
AI governance isn't abstract—it's decisions under constraints. Foundations covers what matters: tech concepts vital to governance (yes, we geek out here), how obligations work in practice, what privacy means for product design, and why frameworks taking shape now determine what you can build next.
Show me the decision logic. Not a vague explanation. An actual specification.
As Artificial Intelligence (AI) becomes more integrated into our daily lives, from recommending movies to assisting in medical diagnoses, we need to have a similar, yet much deeper, level of trust in these complex systems.
The Promise and Peril of an AI Jury
The Law of Yesterday for the AI of Tomorrow
An AI agent represents a leap from the predictive models and chat interfaces we use today. Instead of just responding to commands, agents are active systems designed to accomplish goals.
Ultimately, the study serves as a crucial reality check. The goal isn't just to build an AI that can produce fluent text, but one that can reflect the complex, messy, and nuanced reality of human judgment.
This behavior appeared driven by empathy for users in difficult circumstances.
The governance of generative AI is currently anchored to a flawed assumption: that optimizing for statistical accuracy is the most effective way to mi…