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"}, :properties {:color "green"}} {:id #uuid "644914af-b159-48a7-8c8d-52cd8b1604b2", :page 5, :position {:bounding {:x1 0, :y1 14.000015258789062, :x2 1115.9111328125, :y2 262.0833282470703, :width 1231.2, :height 1824}, :rects ({:x1 0, :y1 14.000015258789062, :x2 0, :y2 34.00001525878906, :width 1231.2, :height 1824} {:x1 841.4928588867188, :y1 203.78126525878906, :x2 1115.9111328125, :y2 231.78126525878906, :width 1231.2, :height 1824} {:x1 178.21875, :y1 234.0833282470703, :x2 456.17877197265625, :y2 262.0833282470703, :width 1231.2, :height 1824}), :page 5}, :content {:text "how we choose, utilize, and measure particular features"}, :properties {:color "green"}} {:id #uuid "644914ba-6a2d-4f72-83d9-3ce8d8b331e1", :page 5, :position {:bounding {:x1 178.21875, :y1 476.3645782470703, :x2 425.83856201171875, :y2 504.3645782470703, :width 1231.2, :height 1824}, :rects ({:x1 178.21875, :y1 476.3645782470703, :x2 425.83856201171875, :y2 504.3645782470703, :width 1231.2, :height 1824}), :page 5}, :content {:text "Omitted Variable Bias"}, :properties {:color "green"}} {:id #uuid "644914de-4c28-4e94-a40c-75108b69c8ca", :page 5, :position {:bounding {:x1 178.2291717529297, :y1 748.9583282470703, :x2 413.60369873046875, :y2 776.9583282470703, :width 1231.2, :height 1824}, :rects ({:x1 178.2291717529297, :y1 748.9583282470703, :x2 413.60369873046875, :y2 776.9583282470703, :width 1231.2, :height 1824}), :page 5}, :content {:text "Representation Bias."}, :properties {:color "green"}} {:id #uuid "64491511-8f92-451b-9c8a-326cb882111f", :page 5, :position {:bounding {:x1 178.21875, :y1 900.3750762939453, :x2 379.98089599609375, :y2 928.3750762939453, :width 1231.2, :height 1824}, :rects ({:x1 178.21875, :y1 900.3750762939453, :x2 379.98089599609375, :y2 928.3750762939453, :width 1231.2, :height 1824}), :page 5}, :content {:text "Aggregation Bias."}, :properties {:color "green"}} {:id #uuid "6449153e-a2b6-4e28-89ff-1901dc3789d8", :page 5, :position {:bounding {:x1 0, :y1 494.0000190734863, :x2 1114.518310546875, :y2 1170.6770820617676, :width 1231.2, :height 1824}, :rects ({:x1 0, :y1 494.0000190734863, :x2 0, :y2 514.0000190734863, :width 1231.2, :height 1824} {:x1 549.8826904296875, :y1 1112.3958320617676, :x2 1114.518310546875, :y2 1140.3958320617676, :width 1231.2, :height 1824} {:x1 178.21875, :y1 1142.6770820617676, :x2 599.0354614257812, :y2 1170.6770820617676, :width 1231.2, :height 1824}), :page 5}, :content {:text "Any general assumptions about subgroups within the population can result in aggregation bias"}, :properties {:color "green"}} {:id #uuid "64491573-f605-4bae-9c42-274f7cc97a56", :page 5, :position {:bounding {:x1 0, :y1 670.0000305175781, :x2 1119.787841796875, :y2 1503.8333435058594, :width 1231.2, :height 1824}, :rects ({:x1 0, :y1 670.0000305175781, :x2 0, :y2 690.0000305175781, :width 1231.2, :height 1824} {:x1 525.3248291015625, :y1 1445.5520935058594, :x2 1119.787841796875, :y2 1473.5520935058594, :width 1231.2, :height 1824} {:x1 215.67709350585938, :y1 1475.8333435058594, :x2 781.1059265136719, :y2 1503.8333435058594, :width 1231.2, :height 1824}), :page 5}, :content {:text "The paradox happened as women tended to apply to departments with lower admission rates for both genders."}, :properties {:color "purple"}} {:id #uuid "644915f2-2826-48dd-992f-3bba88201c20", :page 7, :position {:bounding {:x1 0, :y1 446.00001525878906, :x2 1115.9799499511719, :y2 1119.3542175292969, :width 1231.2, :height 1824}, :rects ({:x1 0, :y1 446.00001525878906, :x2 0, :y2 466.00001525878906, :width 1231.2, :height 1824} {:x1 178.2291717529297, :y1 1061.0729675292969, :x2 1115.9799499511719, :y2 1089.0729675292969, :width 1231.2, :height 1824} {:x1 178.2291717529297, :y1 1091.3542175292969, :x2 491.00889587402344, :y2 1119.3542175292969, :width 1231.2, :height 1824}), :page 7}, :content {:text "Algorithmic Bias. Algorithmic bias is when the bias is not present in the input data and is added purely by the algorithm"}, :properties {:color "green"}} {:id #uuid "64491601-db94-49e4-bc8d-6ec972778aa3", :page 7, :position {:bounding {:x1 0, :y1 558.0000400543213, :x2 1115.508056640625, :y2 1331.3750610351562, :width 1231.2, :height 1824}, :rects ({:x1 0, :y1 558.0000400543213, :x2 0, :y2 578.0000400543213, :width 1231.2, :height 1824} {:x1 679.103271484375, :y1 1273.0938110351562, :x2 1115.508056640625, :y2 1301.0938110351562, :width 1231.2, :height 1824} {:x1 178.21875, :y1 1303.3750610351562, :x2 822.8016357421875, :y2 1331.3750610351562, :width 1231.2, :height 1824}), :page 7}, :content {:text "the user interface and through the user itself by imposing his/her self-selected biased behavior and interaction"}, :properties {:color "green"}} {:id #uuid "64491628-f150-46c3-a87a-461cd0d66fb0", :page 7, :position {:bounding {:x1 178.2291717529297, :y1 1575.947998046875, :x2 909.6483764648438, :y2 1603.947998046875, :width 1231.2, :height 1824}, :rects ({:x1 178.2291717529297, :y1 1575.947998046875, :x2 909.6483764648438, :y2 1603.947998046875, :width 1231.2, :height 1824}), :page 7}, :content {:text "Popularity Bias. Items that are more popular tend to be exposed more. "}, :properties {:color "green"}} {:id #uuid "64491646-e0d3-42e6-bd6d-cc3494af166f", :page 8, :position {:bounding {:x1 369.63543701171875, :y1 476.36456298828125, :x2 866.5224609375, :y2 504.36456298828125, :width 1231.2, :height 1824}, :rects ({:x1 369.63543701171875, :y1 476.36456298828125, :x2 866.5224609375, :y2 504.36456298828125, :width 1231.2, :height 1824}), :page 8}, :content {:text "Evaluation bias happens during model evaluation"}, :properties {:color "green"}} {:id #uuid "64491698-3add-4aaa-aa27-b94c8e8da9a6", :page 8, :position {:bounding {:x1 0, :y1 302.00001525878906, :x2 1115.5657958984375, :y2 867.4479675292969, :width 1231.2, :height 1824}, :rects ({:x1 0, :y1 302.00001525878906, :x2 0, :y2 322.00001525878906, :width 1231.2, :height 1824} {:x1 0, :y1 318.00001525878906, :x2 0, :y2 338.00001525878906, :width 1231.2, :height 1824} {:x1 361.44793701171875, :y1 778.8750305175781, :x2 1115.5657958984375, :y2 806.8750305175781, :width 1231.2, :height 1824} {:x1 177.7916717529297, :y1 809.1770935058594, :x2 1115.516586303711, :y2 837.1770935058594, :width 1231.2, :height 1824} {:x1 177.7916717529297, :y1 839.4479675292969, :x2 340.4620361328125, :y2 867.4479675292969, :width 1231.2, :height 1824}), :page 8}, :content {:text "Historical bias is the already existing bias and socio-technical issues in the world and can seep into from the data generation process even given a perfect sampling and feature selection "}, :properties {:color "green"}} {:id #uuid "644916a0-2631-4fbb-8a55-2d49ec2c60dc", :page 8, :position {:bounding {:x1 0, :y1 430.00000953674316, :x2 1115.5169372558594, :y2 1109.7500305175781, :width 1231.2, :height 1824}, :rects ({:x1 0, :y1 430.00000953674316, :x2 0, :y2 450.00000953674316, :width 1231.2, :height 1824} {:x1 0, :y1 446.0000101327896, :x2 0, :y2 466.00001204013824, :width 1231.2, :height 1824} {:x1 375.13543701171875, :y1 1021.1667175292969, :x2 1115.481201171875, :y2 1049.1667175292969, :width 1231.2, :height 1824} {:x1 177.80209350585938, :y1 1051.4479675292969, :x2 1115.5169372558594, :y2 1079.4479675292969, :width 1231.2, :height 1824} {:x1 177.80209350585938, :y1 1081.7500305175781, :x2 291.46875, :y2 1109.7500305175781, :width 1231.2, :height 1824}), :page 8}, :content {:text "Population bias arises when statistics, demographics, representatives, and user characteristics are different in the user population of the platform from the original target population "}, :properties {:color "green"}} {:id #uuid "644916c0-f9ea-451d-8f18-266efb0f996f", :page 9, :position {:bounding {:x1 0, :y1 238.0000057220459, :x2 1115.5153503417969, :y2 698.7083339691162, :width 1231.2, :height 1824}, :rects ({:x1 0, :y1 238.0000057220459, :x2 0, :y2 258.0000057220459, :width 1231.2, :height 1824} {:x1 275.7243347167969, :y1 640.4270839691162, :x2 1115.5153503417969, :y2 668.4270839691162, :width 1231.2, :height 1824} {:x1 116.38542175292969, :y1 670.7083339691162, :x2 576.2800140380859, :y2 698.7083339691162, :width 1231.2, :height 1824}), :page 9}, :content {:text "feedback loop is not only existent between the data and the algorithm, but also between the algorithms and user interaction"}, :properties {:color "green"}} {:id #uuid "64491720-a503-4bf0-aa89-1e711dfd21f7", :page 9, :position {:bounding {:x1 211.60418701171875, :y1 1029.1042175292969, :x2 667.751953125, :y2 1057.1042175292969, :width 1231.2, :height 1824}, :rects ({:x1 211.60418701171875, :y1 1029.1042175292969, :x2 667.751953125, :y2 1057.1042175292969, :width 1231.2, :height 1824}), :page 9}, :content {:text "Examples of Bias in Machine Learning Data"}, :properties {:color "green"}} {:id #uuid "64491748-23d6-4475-96b9-407524f0e7ec", :page 9, :position {:bounding {:x1 291.4788513183594, :y1 1271.4062805175781, :x2 514.11865234375, :y2 1299.4062805175781, :width 1231.2, :height 1824}, :rects ({:x1 291.4788513183594, :y1 1271.4062805175781, :x2 514.11865234375, :y2 1299.4062805175781, :width 1231.2, :height 1824}), :page 9}, :content {:text "dark-skinned females"}, :properties {:color "green"}} {:id #uuid "64491956-8fb9-45f0-8472-81aaafe147f5", :page 10, :position {:bounding {:x1 115.95834350585938, :y1 575.8854370117188, :x2 730.0691833496094, :y2 603.8854370117188, :width 1231.2, :height 1824}, :rects ({:x1 115.95834350585938, :y1 575.8854370117188, :x2 730.0691833496094, :y2 603.8854370117188, :width 1231.2, :height 1824}), :page 10}, :content {:text "Similar to bias, discrimination is also a source of unfairness"}, :properties {:color "green"}} {:id #uuid "64491a84-f0c7-4bbc-af7c-2c8fc605f702", :page 8, :position {:bounding {:x1 116.95831298828125, :y1 193.82293701171875, :x2 230.69363403320312, :y2 211.82293701171875, :width 809.9999999999999, :height 1200}, :rects ({:x1 116.95831298828125, :y1 193.82293701171875, :x2 230.69363403320312, :y2 211.82293701171875, :width 809.9999999999999, :height 1200}), :page 8}, :content {:text "Emergent Bias."}, :properties {:color "purple"}} {:id #uuid "644a347e-bcf2-4675-8d5e-6e86cbc7b9d9", :page 13, :position {:bounding {:x1 101.71875, :y1 982.578125, :x2 435.7187805175781, :y2 1001.078125, :width 809.9999999999999, :height 1200}, :rects ({:x1 101.71875, :y1 982.578125, :x2 435.7187805175781, :y2 1001.078125, :width 809.9999999999999, :height 1200}), :page 13}, :content {:text "METHODS FOR FAIR MACHINE LEARNING"}, :properties {:color "purple"}} {:id #uuid "644a3492-c375-4549-a723-a59b10f32c80", :page 13, :position {:bounding {:x1 355.5271301269531, :y1 1007.4765625, :x2 730.51611328125, :y2 1025.9765625, :width 809.9999999999999, :height 1200}, :rects ({:x1 355.5271301269531, :y1 1007.4765625, :x2 730.51611328125, :y2 1025.9765625, :width 809.9999999999999, :height 1200}), :page 13}, :content {:text "ddress bias in artificial intelligence to achieve fairness"}, :properties {:color "green"}}], :extra {:page 1}}