<html><body><div style="font-family: arial, helvetica, sans-serif; font-size: 12pt; color: #000000"><div><h1 style="color: #000000; font-family: arial, helvetica, sans-serif; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; text-decoration-style: initial; text-decoration-color: initial;" data-mce-style="color: #000000; font-family: arial, helvetica, sans-serif; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; text-decoration-style: initial; text-decoration-color: initial;">FATE/MM Workshop, co-located with ACM Multimedia 2020 (<a href="https://project.inria.fr/fatmm" data-mce-href="https://project.inria.fr/fatmm">https://project.inria.fr/fatmm</a>)<br></h1><h2 style="color: #000000; font-family: arial, helvetica, sans-serif; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; text-decoration-style: initial; text-decoration-color: initial;" data-mce-style="color: #000000; font-family: arial, helvetica, sans-serif; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; text-decoration-style: initial; text-decoration-color: initial;">Important Dates</h2><div style="color: #000000; font-family: arial, helvetica, sans-serif; font-size: 16px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; text-decoration-style: initial; text-decoration-color: initial;" data-mce-style="color: #000000; font-family: arial, helvetica, sans-serif; font-size: 16px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; text-decoration-style: initial; text-decoration-color: initial;"><ul><li>Paper submission,<span> </span><strong><span data-mce-style="color: #ff0000;" style="color: rgb(255, 0, 0);">June 29th</span></strong></li><li>Author Notification, July 21st</li><li>Camera-Ready, August 7th</li><li>Workshop, October</li></ul><p style="margin: 0px;" data-mce-style="margin: 0px;">All deadlines are at midnight (23:59) Anywhere on Earth.</p><h2>Call for Contributions</h2><div><div>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> </span>More precisely, we expect submissions covering any topic closely related to the multimedia community AND falling in one (or many) of the following categories:<br></div><h3>Models</h3><ul><li>Techniques and models for fairness-aware multimedia modeling, multimedia information retrieval, and recommendation.</li><li>Interpretable and explainable models in multimedia.</li><li>Models and frameworks for conducting FATE audits of multimedia systems.</li><li>Models for addressing inclusion and exclusion in multimedia.</li></ul><h3>Algorithm evaluation<br></h3><ul><li>Qualitative, quantitative, and experimental studies on subjective perceptions of algorithmic bias, unfairness and ethical issues.</li><li>Experimental results of FATE audits of multimedia systems.</li><li>Objective metrics for measuring unfairness and bias in multimedia.</li><li>Generation of human-readable explanations for multimedia models and algorithmic outputs.</li><li>Metrics for measuring inclusiveness in multimedia systems.</li></ul><h3>Data collection and curation</h3><ul><li>Defining, measuring and mitigating problematic biases in multimedia datasets.</li><li>Ethical issues in multimedia data collection processes.</li><li>Improvement of data collection processes to be more fair, diverse, and inclusive.</li><li>Data collection regarding potential unfairness in systems and ethical consequences.</li></ul><h3>Applications</h3><ul><li>Research on fair and transparent multimedia tools and applications</li><li>Ethical design and/or usage of multimedia tools and applications</li></ul></div></div></div></div></body></html>