3.109Institutions should ensure that their Big Data Analytics and AI Applications promote fair treatment, produce objective, consistent, ethical, and fair outcomes, and also, are aligned with Institutions’ ethical standards, value and codes of conduct. Accordingly, they should:
a.Comply with laws against discrimination and other applicable laws;
b.Be produced using representative inputs and Data which have been tested for selection bias (further guidance provided in Clause 3.100);
c.Consider whether a human-in-the-loop mechanism is needed to detect and mitigate biases;
d.Retain the possibility of manual intervention to mitigate or reverse irresponsible and erroneous decisions;
e.Retain the possibility of modification by the Institution; and
f.Be explainable.
3.110Institutions should consider the fairness of a Big Data Analytics and AI model through understanding the biases and noise affecting Big Data Analytics and AI decisions. Institutions should define what it means for a Big Data Analytics and AI model to be fair.
3.111Institutions should consider and assess the impact that Big Data Analytics and AI models may have on individuals or groups of individuals to ensure that such individuals or groups are not systematically disadvantaged unless the decisions suggested by the models have a clearly documented justification. Institutions should take steps to minimize unintentional or undeclared bias.