{"id":116,"date":"2019-08-09T14:37:12","date_gmt":"2019-08-09T12:37:12","guid":{"rendered":"https:\/\/project.inria.fr\/fatmm\/?page_id=116"},"modified":"2020-10-16T13:30:13","modified_gmt":"2020-10-16T11:30:13","slug":"program","status":"publish","type":"page","link":"https:\/\/project.inria.fr\/fatmm\/program\/","title":{"rendered":"Program"},"content":{"rendered":"

Here is the program for our FATE\/MM workshop on October 16th, 2020 (in Pacific Time, AM):<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Time<\/th>\nPresenter<\/th>\nTitle<\/th>\n<\/tr>\n
5:00<\/td>\nOrganisers<\/td>\nWelcome remarks<\/td>\n<\/tr>\n
5:10<\/td>\nProf. Vivek Singh<\/td>\nInvited talk: Auditing and Controlling Algorithmic Bias<\/em><\/a><\/td>\n<\/tr>\n
6:00<\/td>\n<\/td>\nOral #1: Gender Slopes: Counterfactual Fairness for Computer Vision Models by<\/em>
\nAttribute Manipulation [Video<\/a>]<\/em><\/td>\n<\/tr>\n
6:20<\/td>\n<\/td>\nOral #2: Not Judging a User by Their Cover: Understanding Harm in Multi-Modal\u00a0<\/em>Processing within Social Media Research [Video<\/a>]<\/em><\/td>\n<\/tr>\n
6:40<\/td>\n—<\/td>\nCoffee break<\/td>\n<\/tr>\n
7:00<\/td>\nProf. Katharina Reinecke<\/td>\nInvited Talk: Bias and unintended consequences of WEIRD technology<\/a><\/em><\/td>\n<\/tr>\n
7:50<\/td>\n<\/td>\nOral #3: Balancing Fairness and Accuracy in Sentiment Detection using Multiple Black<\/em>
\nBox Models [Video<\/a>]<\/em><\/td>\n<\/tr>\n
8:10<\/td>\n<\/td>\nOral #4: Fighting Filterbubbles with Adversarial Training [Video<\/a>]<\/em><\/td>\n<\/tr>\n
8:30<\/td>\nDr. Cristian Canton<\/td>\nInvited talk: Abuses and misuses of AI: prevention vs reaction<\/em><\/a><\/td>\n<\/tr>\n
9:20<\/td>\nOrganisers<\/td>\nConclusions<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

<\/p>","protected":false},"excerpt":{"rendered":"

Here is the program for our FATE\/MM workshop on October 16th, 2020 (in Pacific Time, AM): Time Presenter Title 5:00 Organisers Welcome remarks 5:10 Prof. Vivek Singh Invited talk: Auditing and Controlling Algorithmic Bias 6:00 Oral #1: Gender Slopes: Counterfactual Fairness for Computer Vision Models by Attribute Manipulation [Video] 6:20\u2026<\/p>\n

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