<table>
<location><page_4><loc_15><loc_63><loc_85><loc_85></location>
<caption>Table 1: Final rubric with XAI tools being evaluated based on whether they did (+) or did not (-) include at least one example of these fairness considerations.</caption>
<row_0><col_0><col_header></col_0><col_1><location><page_4><loc_37><loc_82><loc_50><loc_85></location>Random Forest Feature Importance</col_1><col_2><location><page_4><loc_52><loc_83><loc_55><loc_84></location>LIME</col_2><col_3><location><page_4><loc_57><loc_83><loc_71><loc_84></location>AI Explainability 360</col_3><col_4><location><page_4><loc_74><loc_82><loc_83><loc_85></location>Ad-hoc Explainability</col_4></row_0>
<row_1><col_0><location><page_4><loc_16><loc_81><loc_20><loc_82></location>Model</col_0><col_1><location><page_4><loc_39><loc_81><loc_48><loc_82></location>Random Forest</col_1><col_2><body></col_2><col_3><location><page_4><loc_57><loc_81><loc_66><loc_82></location>Deep learning</col_3><col_4><location><page_4><loc_73><loc_81><loc_84><loc_82></location>Logistic Regression</col_4></row_1>
<row_2><col_0><location><page_4><loc_42><loc_79><loc_58><loc_80></location>Issues with Biased Data</col_0><col_1><location><page_4><loc_42><loc_79><loc_58><loc_80></location>Issues with Biased Data</col_1><col_2><location><page_4><loc_42><loc_79><loc_58><loc_80></location>Issues with Biased Data</col_2><col_3><location><page_4><loc_42><loc_79><loc_58><loc_80></location>Issues with Biased Data</col_3><col_4><location><page_4><loc_42><loc_79><loc_58><loc_80></location>Issues with Biased Data</col_4></row_2>
<row_3><col_0><location><page_4><loc_16><loc_78><loc_26><loc_79></location>Imbalanced data</col_0><col_1><location><page_4><loc_43><loc_78><loc_44><loc_79></location>-</col_1><col_2><location><page_4><loc_53><loc_78><loc_54><loc_79></location>+</col_2><col_3><location><page_4><loc_64><loc_78><loc_64><loc_79></location>+</col_3><col_4><location><page_4><loc_78><loc_78><loc_79><loc_79></location>-</col_4></row_3>
<row_4><col_0><location><page_4><loc_16><loc_76><loc_35><loc_78></location>Influential variable identification</col_0><col_1><location><page_4><loc_43><loc_76><loc_44><loc_78></location>+</col_1><col_2><location><page_4><loc_53><loc_76><loc_54><loc_78></location>+</col_2><col_3><location><page_4><loc_64><loc_76><loc_64><loc_78></location>+</col_3><col_4><location><page_4><loc_78><loc_76><loc_79><loc_78></location>+</col_4></row_4>
<row_5><col_0><location><page_4><loc_16><loc_75><loc_28><loc_76></location>Preprocessing issues</col_0><col_1><location><page_4><loc_43><loc_75><loc_44><loc_76></location>-</col_1><col_2><location><page_4><loc_53><loc_75><loc_54><loc_76></location>-</col_2><col_3><location><page_4><loc_64><loc_75><loc_64><loc_76></location>-</col_3><col_4><location><page_4><loc_78><loc_75><loc_79><loc_76></location>-</col_4></row_5>
<row_6><col_0><location><page_4><loc_16><loc_74><loc_27><loc_75></location>Sensitive attributes</col_0><col_1><location><page_4><loc_43><loc_74><loc_44><loc_75></location>-</col_1><col_2><location><page_4><loc_53><loc_74><loc_54><loc_75></location>-</col_2><col_3><location><page_4><loc_64><loc_74><loc_64><loc_75></location>-</col_3><col_4><location><page_4><loc_78><loc_74><loc_79><loc_75></location>-</col_4></row_6>
<row_7><col_0><location><page_4><loc_35><loc_72><loc_65><loc_73></location>Issues involved in Machine Learning Models</col_0><col_1><location><page_4><loc_35><loc_72><loc_65><loc_73></location>Issues involved in Machine Learning Models</col_1><col_2><location><page_4><loc_35><loc_72><loc_65><loc_73></location>Issues involved in Machine Learning Models</col_2><col_3><location><page_4><loc_35><loc_72><loc_65><loc_73></location>Issues involved in Machine Learning Models</col_3><col_4><location><page_4><loc_35><loc_72><loc_65><loc_73></location>Issues involved in Machine Learning Models</col_4></row_7>
<row_8><col_0><location><page_4><loc_16><loc_71><loc_31><loc_72></location>Model-Specific influences</col_0><col_1><location><page_4><loc_43><loc_71><loc_44><loc_72></location>-</col_1><col_2><location><page_4><loc_53><loc_71><loc_54><loc_72></location>-</col_2><col_3><location><page_4><loc_64><loc_71><loc_64><loc_72></location>-</col_3><col_4><location><page_4><loc_78><loc_71><loc_79><loc_72></location>-</col_4></row_8>
<row_9><col_0><location><page_4><loc_16><loc_69><loc_26><loc_70></location>Accuracy equity</col_0><col_1><location><page_4><loc_43><loc_69><loc_44><loc_70></location>-</col_1><col_2><location><page_4><loc_53><loc_69><loc_54><loc_70></location>-</col_2><col_3><location><page_4><loc_64><loc_69><loc_64><loc_70></location>+</col_3><col_4><location><page_4><loc_78><loc_69><loc_79><loc_70></location>-</col_4></row_9>
<row_10><col_0><location><page_4><loc_39><loc_68><loc_61><loc_69></location>Issues involved with XAI results</col_0><col_1><location><page_4><loc_39><loc_68><loc_61><loc_69></location>Issues involved with XAI results</col_1><col_2><location><page_4><loc_39><loc_68><loc_61><loc_69></location>Issues involved with XAI results</col_2><col_3><location><page_4><loc_39><loc_68><loc_61><loc_69></location>Issues involved with XAI results</col_3><col_4><location><page_4><loc_39><loc_68><loc_61><loc_69></location>Issues involved with XAI results</col_4></row_10>
<row_11><col_0><location><page_4><loc_16><loc_66><loc_25><loc_67></location>Target audience</col_0><col_1><location><page_4><loc_43><loc_66><loc_44><loc_67></location>-</col_1><col_2><location><page_4><loc_53><loc_66><loc_54><loc_67></location>-</col_2><col_3><location><page_4><loc_64><loc_66><loc_64><loc_67></location>+</col_3><col_4><location><page_4><loc_78><loc_66><loc_79><loc_67></location>-</col_4></row_11>
<row_12><col_0><location><page_4><loc_16><loc_65><loc_33><loc_66></location>Presentation of explanations</col_0><col_1><location><page_4><loc_43><loc_65><loc_44><loc_66></location>+</col_1><col_2><location><page_4><loc_53><loc_65><loc_54><loc_66></location>+</col_2><col_3><location><page_4><loc_64><loc_65><loc_64><loc_66></location>+</col_3><col_4><location><page_4><loc_78><loc_65><loc_79><loc_66></location>+</col_4></row_12>
<row_13><col_0><location><page_4><loc_16><loc_64><loc_30><loc_65></location>Variety of explanations</col_0><col_1><location><page_4><loc_43><loc_64><loc_44><loc_65></location>-</col_1><col_2><location><page_4><loc_53><loc_64><loc_54><loc_65></location>-</col_2><col_3><location><page_4><loc_64><loc_64><loc_64><loc_65></location>+</col_3><col_4><location><page_4><loc_78><loc_64><loc_79><loc_65></location>-</col_4></row_13>
</table>
