How I Govern AI-Assisted ML Projects
After four ML projects at Georgia Tech, I’d run 14 manual audit cycles with 30+ findings each. The governance wasn’t the problem — the manual enforcement was. So I built govML. The Problem Every ML project needs governance: reproducible experiments, documented decisions, data integrity checks, fair comparisons. But enforcing governance manually is a workflow killer. My unsupervised learning project had 7 audit cycles with 49+ findings. The RL project had 14 cycles with 30+ findings. I was spending more time auditing than experimenting. ...