The 1st Workshop on Fairness, Accountability, and Transparency in Misinformation Management brings together researchers working on the misinformation problem. With the ever increasing number of false information spread online everyday and consequently the increasing amount of researchers and practitioners working to contrast such phenomenon, it is now time to discuss and study important aspects such as the bias, fairness, accountability, and transparency of the methods developed to tackle the misinformation problem. Considering transparency and fairness of treatment for all parties involved in misinformation is especially critical in a setting where freedom of speech is incentivized and actively supported by social media platforms.
There is an increasing number of research works on the limits and unexplored opportunities offered by AI for the representation of knowledge in the legal domain. Typical research goals may include: classification of legal sources, legal design (including legal ontologies), similarity among legal sources and clustering, prediction and support in decision-making processes, legal interpretation support, outlining the evolution of legal concepts and definitions over time, information extraction and classification, detection of linguistic phenomena and patterns in legal sources, multilingual alignments of concepts on domestic and international legal sources, identifying legal references and network analysis, analogical reasoning and compliance checking. The Knowledge Management for Law (KM4LAW) workshop intends to be a forum to focus on legal informatics from a broad perspective.