The computational inclusiveness and transparency of automatic information processing methods is a research topic that exhibited growing interest in the past years. In the era of digitized decision-making software where the push for artificial intelligence happens worldwide and at different strata of the socio-economic tissue, the consequences of biased, unexplainable and opaque methods for multimedia analysis and content retrieval, can be dramatic. In this context, the multimedia community must put together the necessary efforts in applying its expertise and know-how and investigate how to transform the current technical tools and methodologies so as to derive computational models that are transparent and inclusive.
Information processing is one of the fundamental pillars of multimedia, it does not matter whether data is processed for content, experience or systems applications, the automatic processing of information is used in every corner of our community. This is why it is crucial to start bringing the notion of fairness, accountability and transparency into ACM Multimedia.