I tend to believe this is a valid approach for ML application in public institutions. Being ML a black box or a potential source of discrimination, setting up systems to ensure credibility within the public should be addressed early on in the design process (perhaps while designing the model itself).

I wouldn't be surprised to see a future where all ML applications affecting citizens and the general public interest (excluding defense, military, etc.) will be obliged to be open-source and subject to public scrutiny.