{ "141461-21888827": { "datetime_modified":"20260107T161837", "datetime_start":"20251112T120000", "datetime_end":"20251112T130000", "has_end_time":1, "date_start":"2025-11-12", "date_end":"2025-11-12", "time_start":"12:00:00", "time_end":"13:00:00", "time_zone":"America\/Detroit", "event_title":"MPSDS \/ JPSM Seminar Series: Achieving Fairness in AI with Synthetic Data", "occurrence_title":"", "combined_title":"MPSDS \/ JPSM Seminar Series: Achieving Fairness in AI with Synthetic Data: Bei Jiang - University of Alberta", "event_subtitle":"Bei Jiang - University of Alberta", "event_type":"Lecture \/ Discussion", "event_type_id":"13", "description":"MPSDS \/ JPSM Seminar Series\r\nMPSDS M3 Series: Mastery, Methodology, Meetups\r\n\r\nIn person, room 1070, Institute for Social Research and via Zoom. \r\nThe Zoom call be be locked 10 minutes after the start of the presentation. \r\nPlease note that many of the links have changed.\r\n\r\nAchieving Fairness in AI with Synthetic Data\r\nArtificial intelligence and machine learning increasingly inform decisions in hiring, lending, healthcare, and justice. Yet real-world datasets often encode historical bias, and models trained on them can reproduce or amplify inequities. Pre-processing via fair synthetic data is a promising: if we can generate data that mitigates bias at the source while preserving signal, downstream models can be both fair and useful. This talk introduces FDA (Fair synthetic data via Data Augmentation), a statistically principled framework that makes the fairness\u2013faithfulness trade-off explicit and controllable. FDA jointly models a fair submodel and a faithful submodel, coupled by a single parameter $\\alpha \\in [0,1]$ that quantifies the fraction of bias removed. We prove clear operating points: $\\alpha=0$ yields maximal fairness (with larger deviation from the original distribution), $\\alpha=1$ recovers the original data in probability (hence in distribution), and intermediate $\\alpha$ values guarantee calibrated compromises with interpretable bounds. Practically, FDA samples directly from simple predictive distributions, avoiding heavy black-box training. We further provide theory connecting FDA\u2019s $\\alpha$ to fairness of downstream models. Together, these results deliver a transparent, efficient, and deployable path to generating fair synthetic data without sacrificing essential statistical structure.\r\n\r\nDr. Bei Jiang is an Associate Professor in the Department of Mathematical and Statistical Sciences at the University of Alberta, a Fellow of the Alberta Machine Intelligence Institute (Amii), and a Canada CIFAR AI Chair. She received her PhD in Biostatistics from the University of Michigan in 2014, followed by a postdoctoral appointment in the Department of Biostatistics at Columbia University (2014\u20132015), before joining the University of Alberta as an Assistant Professor in 2015. Dr. Jiang has authored more than 50 journal articles\u2014including in the Annals of Statistics, Journal of the American Statistical Association and the Journal of Machine Learning Research and over 20 peer-reviewed conference papers at venues such as NeurIPS, ICML, ICLR, and AAAI. Her research focuses on Bayesian hierarchical modeling, statistical learning methods that advance privacy and fairness, and federated statistical inference. Dr. Jiang has an extensive record of service to the statistical community. She is currently serving on the SSC Equity, Diversity, and Inclusion Committee, the CANSSI Showcase Organizing Committee, the Committee of the COPSS Presidents\u2019 Award, and the JSM 2026 Program Committee. She is an Associate Editor for the Journal of the American Statistical Association. Dr. Jiang is the 2025 recipient of the COPSS Emerging Leaders Award, recognizing early-career statistical scientists whose leadership and scholarship are shaping the field.", "occurrence_notes":"Onsite in room 1070, Institute for Social Research, and via Zoom.", "guid":"141461-21888827@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/141461", "building_id":"null", "building_name":"Off Campus Location", "campus_maps_id":"1", "room":"Room 1070, Institute for Social Research", "location_name":"Virtual", "has_livestream":1, "livestream_type":"zoom", "livetream_require_login":0, "livestream_id":"94043639579", "livestream_password":"2526", "livestream_link":"https:\/\/umich.zoom.us\/j\/94043639579", "cost":"", "tags":["Ai","Artificial Intelligence","Basic Science","Bias","Biomedical","biomedical research","brown bag","Data","Data Analysis","Data Collection","Data Curation","Data Linkage","Data Management","Data Science","In Person","Information and Technology","Lecture","Livestream","Mathematics","Medical","Online","Public Health","Research","Science","seminar","Statistics","Survey Methodology","Survey Methods","Survey Research","Virtual"], "website":"https:\/\/tinyurl.com\/bdeexs29", "sponsors":[ { "group_name":"Michigan Program in Survey and Data Science", "group_id":"4430", "website":"" }, { "group_name":"Institute for Social Research", "group_id":"3285", "website":"http:\/\/isr.umich.edu" }, { "group_name":"Survey Research Center", "group_id":"5063", "website":"https:\/\/src.isr.umich.edu\/" } ], "image_url":"https:\/\/events.umich.edu\/media\/attachments\/2025\/11\/event_141461_original-1.jpg", "styled_images":{ "event_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_thumb\/media\/attachments\/2025\/11\/event_141461_original-1.jpg", "event_large":"https:\/\/events.umich.edu\/media\/cache\/event_large\/media\/attachments\/2025\/11\/event_141461_original-1.jpg", "event_large_2x":"https:\/\/events.umich.edu\/media\/cache\/resolve\/event_large_2x\/media\/attachments\/2025\/11\/event_141461_original-1.jpg", "event_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/event_large_lightbox\/media\/attachments\/2025\/11\/event_141461_original-1.jpg", "group_thumb":"https:\/\/events.umich.edu\/media\/cache\/resolve\/group_thumb\/media\/attachments\/2025\/11\/event_141461_original-1.jpg", "group_thumb_square":"https:\/\/events.umich.edu\/media\/cache\/resolve\/group_thumb_square\/media\/attachments\/2025\/11\/event_141461_original-1.jpg", "group_large":"https:\/\/events.umich.edu\/media\/cache\/resolve\/group_large\/media\/attachments\/2025\/11\/event_141461_original-1.jpg", "group_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/resolve\/group_large_lightbox\/media\/attachments\/2025\/11\/event_141461_original-1.jpg", "event_large_crop":"https:\/\/events.umich.edu\/media\/cache\/resolve\/event_large_crop\/media\/attachments\/2025\/11\/event_141461_original-1.jpg", "event_list":"https:\/\/events.umich.edu\/media\/cache\/resolve\/event_list\/media\/attachments\/2025\/11\/event_141461_original-1.jpg", "event_list_2x":"https:\/\/events.umich.edu\/media\/cache\/event_list_2x\/media\/attachments\/2025\/11\/event_141461_original-1.jpg", "event_grid":"https:\/\/events.umich.edu\/media\/cache\/resolve\/event_grid\/media\/attachments\/2025\/11\/event_141461_original-1.jpg", "event_grid_2x":"https:\/\/events.umich.edu\/media\/cache\/resolve\/event_grid_2x\/media\/attachments\/2025\/11\/event_141461_original-1.jpg", "event_feature_large":"https:\/\/events.umich.edu\/media\/cache\/resolve\/event_feature_large\/media\/attachments\/2025\/11\/event_141461_original-1.jpg", "event_feature_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_feature_thumb\/media\/attachments\/2025\/11\/event_141461_original-1.jpg" }, "occurrence_count":1, "first_occurrence":21888827 } , "137666-21882276": { "datetime_modified":"20251127T123059", "datetime_start":"20251112T120000", "datetime_end":"20251112T131500", "has_end_time":1, "date_start":"2025-11-12", "date_end":"2025-11-12", "time_start":"12:00:00", "time_end":"13:15:00", "time_zone":"America\/Detroit", "event_title":"ServiceNow Early in Career Recruiting Kick-Off #3", "occurrence_title":"", "combined_title":"ServiceNow Early in Career Recruiting Kick-Off #3", "event_subtitle":"", "event_type":"Careers \/ Jobs", "event_type_id":"2", "description":"Join us for our Early in Career Recruiting Kick-Off on Wednesday, November 12, 2025, starting at 12:00 PM PST!\u00a0During this session, you will learn all about ServiceNow\u2019s company culture, platform, and career opportunities. 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Markets Technical Workshop", "event_subtitle":"", "event_type":"Careers \/ Jobs", "event_type_id":"2", "description":"This introductory workshop gives students theirfirst real insight into the organisations, roles,and objectives within the financial industry.Led by an expert trainer, the session exploresthe difference between the buy-side andsell-side, and then takes a closer look at thestructure and career paths within an investmentbank\u2019s markets division.What to expect:\u00a0Industry Overview: Understand the corefunctions of global financial institutions.\u2022 Buy-Side vs. Sell-Side: Learn the keydifferences and how each operates inthe markets.\u2022 Role Exploration: Discover the structure,teams, and opportunities within marketsdivisions.\u2022 Pre-Learning Experience: Build a solidfoundation ahead of participating in moreadvanced AmplifyME simulations.", "occurrence_notes":null, "guid":"141332-21888646@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/141332", "building_id":"", "building_name":"", "campus_maps_id":"", "room":"", "location_name":"", "has_livestream":0, "cost":"", "tags":[], "website":"", "sponsors":[ { "group_name":"University Career Center UCC", "group_id":"1140", "website":"http:\/\/careercenter.umich.edu" } ], "image_url":"", "styled_images":{ "event_thumb":"", "event_large":"", "event_large_2x":"", "event_large_lightbox":"", "group_thumb":"", "group_thumb_square":"", "group_large":"", "group_large_lightbox":"", "event_large_crop":"", "event_list":"", "event_list_2x":"", "event_grid":"", "event_grid_2x":"", "event_feature_large":"", "event_feature_thumb":"" }, "occurrence_count":1, "first_occurrence":21888646 } , "140664-21887470": { "datetime_modified":"20251127T123112", "datetime_start":"20251112T130000", "datetime_end":"20251112T143000", "has_end_time":1, "date_start":"2025-11-12", "date_end":"2025-11-12", "time_start":"13:00:00", "time_end":"14:30:00", "time_zone":"America\/Detroit", "event_title":"Careers at Caltrans PMP: How to get a State Job Virtual Workshop", "occurrence_title":"", "combined_title":"Careers at Caltrans PMP: How to get a State Job Virtual Workshop", "event_subtitle":"", "event_type":"Careers \/ Jobs", "event_type_id":"2", "description":"Join Caltrans in Shaping the Future of California\u2019s Transportation Network!The California Department of Transportation (Caltrans) is hiring talented individuals from many backgrounds who are dedicated to innovating and maintaining California\u2019s multimodal transportation systems. 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Join our upcoming workshop to learn how to apply and take thefirst step toward a rewarding career!", "occurrence_notes":null, "guid":"140664-21887470@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/140664", "building_id":"", "building_name":"", "campus_maps_id":"", "room":"", "location_name":"", "has_livestream":0, "cost":"", "tags":[], "website":"", "sponsors":[ { "group_name":"University Career Center UCC", "group_id":"1140", "website":"http:\/\/careercenter.umich.edu" } ], "image_url":"", "styled_images":{ "event_thumb":"", "event_large":"", "event_large_2x":"", "event_large_lightbox":"", "group_thumb":"", "group_thumb_square":"", "group_large":"", "group_large_lightbox":"", "event_large_crop":"", "event_list":"", "event_list_2x":"", "event_grid":"", "event_grid_2x":"", "event_feature_large":"", "event_feature_thumb":"" }, "occurrence_count":1, "first_occurrence":21887470 } , "141063-21888069": { "datetime_modified":"20251023T135337", "datetime_start":"20251112T130000", "datetime_end":"20251112T170000", "has_end_time":1, "date_start":"2025-11-12", "date_end":"2025-11-12", "time_start":"13:00:00", "time_end":"17:00:00", "time_zone":"America\/Detroit", "event_title":"CVGA Video Game Challenge", "occurrence_title":"", "combined_title":"CVGA Video Game Challenge", "event_subtitle":"", "event_type":"Recreational \/ Games", "event_type_id":"18", "description":"Join the Video Game Challenge in the CVGA (Computer & Video Game Archive) Room 4041, Shapiro Library\u2014featuring classic favorites Katamari Damacy and Bubble Bobble! 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