{"id":65,"date":"2019-04-02T14:53:55","date_gmt":"2019-04-02T12:53:55","guid":{"rendered":"https:\/\/project.inria.fr\/fatmm\/?page_id=65"},"modified":"2020-03-13T17:49:32","modified_gmt":"2020-03-13T16:49:32","slug":"call-for-contributions","status":"publish","type":"page","link":"https:\/\/project.inria.fr\/fatmm\/call-for-contributions\/","title":{"rendered":"Call for Contributions"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">The workshop aims to foster research around a timely and crucial topic for the present digitized society: the fairness, accountability, transparency and ethics of multimedia algorithms. The workshop has a strong scientific link with the FAT\/ML workshop, satellite of ICML, and the ACM FAT* conference. Differently from FAT\/ML, which is anchored in machine learning, the FATE\/MM workshop addresses fairness, accountability, transparency and ethics in multimedia processing, retrieval, categorization and applications.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">More precisely, we expect submissions covering any topic closely related to the multimedia community AND falling in one (or many) of the following categories:<\/span><\/p>\n<p><b>Models<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Techniques and models for fairness-aware multimedia modeling, multimedia information retrieval, and recommendation.<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Interpretable and explainable models in multimedia.<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Models and frameworks for conducting FATE audits of multimedia systems.<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Models for addressing inclusion and exclusion in multimedia.<\/span><\/li>\n<\/ul>\n<p><b>Algorithm evaluation<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Qualitative, quantitative, and experimental studies on subjective perceptions of algorithmic bias, unfairness and ethical issues.<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Experimental results of FATE audits of multimedia systems.<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Objective metrics for measuring unfairness and bias in multimedia.<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Generation of human-readable explanations for multimedia models and algorithmic outputs.<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Metrics for measuring inclusiveness in multimedia systems.<\/span><\/li>\n<\/ul>\n<p><b>Data collection and curation<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Defining, measuring and mitigating problematic biases in multimedia datasets.<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Ethical issues in multimedia data collection processes.<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Improvement of data collection processes to be more fair, diverse, and inclusive.<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Data collection regarding potential unfairness in systems and ethical consequences.<\/span><\/li>\n<\/ul>\n<p><b>Applications<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Research on fair and transparent multimedia tools and applications<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Ethical design and\/or usage of multimedia tools and applications<\/span><\/li>\n<\/ul>\n<p><\/p>","protected":false},"excerpt":{"rendered":"<p>The workshop aims to foster research around a timely and crucial topic for the present digitized society: the fairness, accountability, transparency and ethics of multimedia algorithms. The workshop has a strong scientific link with the FAT\/ML workshop, satellite of ICML, and the ACM FAT* conference. Differently from FAT\/ML, which is\u2026<\/p>\n<p> <a class=\"continue-reading-link\" href=\"https:\/\/project.inria.fr\/fatmm\/call-for-contributions\/\"><span>Continue reading<\/span><i class=\"crycon-right-dir\"><\/i><\/a> <\/p>\n","protected":false},"author":1210,"featured_media":0,"parent":0,"menu_order":1,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-65","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/project.inria.fr\/fatmm\/wp-json\/wp\/v2\/pages\/65","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/project.inria.fr\/fatmm\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/project.inria.fr\/fatmm\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/fatmm\/wp-json\/wp\/v2\/users\/1210"}],"replies":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/fatmm\/wp-json\/wp\/v2\/comments?post=65"}],"version-history":[{"count":2,"href":"https:\/\/project.inria.fr\/fatmm\/wp-json\/wp\/v2\/pages\/65\/revisions"}],"predecessor-version":[{"id":154,"href":"https:\/\/project.inria.fr\/fatmm\/wp-json\/wp\/v2\/pages\/65\/revisions\/154"}],"wp:attachment":[{"href":"https:\/\/project.inria.fr\/fatmm\/wp-json\/wp\/v2\/media?parent=65"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}