Overview

Representatives of impacted stakeholders should be identified and partnered with on data collection methods. This is particularly important when identifying new or non-traditional data-gathering resources and methods. To increase representativeness and responsible interpretation, when collecting and analyzing specific datasets include diverse viewpoints and not only those of experts. Technology or datasets deemed non-problematic by one group may be predicted to be disastrous by others. Training data sets should be demographically representative of the cohorts or communities on whom the AI system will impact.