The principle "The ARCC (Available, Reliable, Comprehensible, and Controllable) for AI" has mentioned the topic "bias" in the following places:

    Algorithmic fairness

    Ethics by design (EBD): ensure that algorithm is reasonable, and date is accurate, up to date, complete, relevant, unbiased and representative, and take technical measures to identify, solve and eliminate bias

    Algorithmic fairness

    Ethics by design (EBD): ensure that algorithm is reasonable, and date is accurate, up to date, complete, relevant, unbiased and representative, and take technical measures to identify, solve and eliminate bias

    Algorithmic fairness

    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.