I agree. There is no reason ML tech should perform worse than traditional software, allowing privacy as per GDPR and CA regulations, at the very least. The in

I agree. There is no reason ML tech should perform worse than traditional software, allowing privacy as per GDPR and CA regulations, at the very least. The input datasets should be managed as per GDPR/CA regulations, with clear flags protecting privacy of EU citizens and CA residents. And any derived models should propagate these labels and not allow querying information violating these regulations. If GitHub Colab implementation or and GPT-3/4 models were developed without these regulations in mind these models should be retrained. Yes, it is a hard research problem. Yet, there is no reason these models should be allowed to violate privacy in worse ways than traditional software.