Formulate guidelines and principles on solving bias and discrimination, potential mechanisms include algorithmic transparency, quality review, impact assessment, algorithmic audit, supervision and review, ethical board, etc.

Promote algorithmic transparency and algorithmic audit, to achieve understandable and explainable AI systems

· Differential transparency

Different entity needs different transparency and information, and intellectual property technical feature, and technical literacy should also be considered

· Explanation rather than technological transparency