[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-119925-en":3,"doc-seo-119925-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},119925,4810365810221,"Aurora","https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d",8,"Research & Report","Digital Holocaust Memory Project - Recommendations for Using Artificial Intelligence and Machine Learning for Holocaust Memory and Education","Recommendations for using artificial intelligence and machine learning in Holocaust memory and education focus on how these technologies shape what users access and understand through digital, searchable environments. The report argues that current public influence is stronger in online spaces than within professional teaching institutions, requiring organizations to identify both possibilities and risks. Emphasis is placed on the need for historical knowledge, source-based logics, and participatory, standards-oriented work that supports ongoing, networked digital education rather than fixed broadcast-era texts.","THE DIGITAL HOLOCAUST MEMORY PROJECT SUSSEX WEI DE NFELD INSTITUTE OF JEWISH STUDIES  \nRECOMMENDATIONS FOR USING ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING FOR HOLOCAUST MEMORY AND EDUCATION  \nPREPARED BY DR VICTORIA GRACE WALDEN AND DR KATE MARRI SON  \nThis project was generously supported by funding from the School of Media, Arts and Humanities, University of Sussex and the Economic and Social Research Council's Impact Acceleration Account.  \nIn-kind support was also received from iRights.Lab, Germany for the wider project.  \nThe social media thread of the project was also supported by the in-kind support of our project partners:  \nUniversity of Bern (supported by funding from the Alfred  \nLandecker Stiftung).  \nCONTRIBUTORS  \nProject Leads  \nPrimary Investigator: Victoria Grace Walden, Senior Lecturer, School of Media, Arts and Humanities, University of Sussex, UK  \nCo-Investigators: Mykola Makhortykh, Alfred Landecker lecturer, University of Bern, Switzerland  \nKate Marrison, Postdoctoral Fellow at The Sussex Weidenfeld Institute, University of Sussex, UK  \nWith kind support from the Alfred Landecker Stiftung for the time of project lead Dr Makhortykh.  \nParticipants  \nSilke Arnold-de Simine, Reader Emerita, Department of Film, Media and Cultural Studies, Birkbeck, University of London, UK  \nAnja Bal is, German Language and Literature Education, University of Munich, Germany Frédéric Clavert, Centre for Contemporary and Digital History, University of Luxembourg  \nTim Cole, Department of History, University of Bristol Lesly Culp, USC Shoah Foundation, California, US  \nRon Grau, School of Engineering and Informatics, University of Sussex, UK  \nIris Groschek, Foundation of Hamburg Memorials and Learning Sites Commemorating the Victims of Nazi Crimes, Germany  \nBenedikt Perak, Faculty of Humanities and Social Sciences, University of Rijeka, Croatia  \nDigital Holocaust Memory Project-Social Media Report 2023  \nPage 3  \nCONTRIBUTORS  \nAlexandra Pucciarelli, Library Science and Archive Studies, Queen’s College, New York, US  \nTomer Sagie, Business IT, Yad Vashem, and Social Network Analysis, Ben Gurion University, Israel  \nAndrea Szonyi, USC Shoah Foundation, California, US  \nSteve Torrance, School of Engineering and Informatics, University of Sussex, UK and Expert Ethics Reviewer, Horizon 2020/ Horizon Europe, European Commission  \nPaul Verschure, Radboud University Donders Centre of Neuroscience, the Netherlands; Synthetic, Perceptive, Emotive and Cognitive systems group (SPECS); Eodyne Systems, Barcelona, Spain and Future Memory Foundation, The Hague, the Netherlands  \nSytse Wierenga, Eodyne Systems, Barcelona, Spain and Future Memory Foundation, The Hague, Netherlands  \nDigital Holocaust Memory Project-Social Media Report 2023  \nPage 4  \nTABLE OF CONTENTS  \n0 1  \nForeword  \n0 2  \nRecommendations  \n0 3  \nDiscussion Summary  \n0 4  \nMethodology  \nDigital Holocaust Memory Project-AI and Machine Learning Report 2023  \nF0REWORD  \nThe majority of academic research that offers commentary on digital Holocaust projects tends to focus on what is seen by users at the interface. For example, the simulation of human-to-human dialogue in interactive biography projects or avatarsin Second Life. Far less attention has been given to the invisible processes that inform what data is retrieved by the user.  \nArtificial intelligence and machine learning already impact Holocaust education and memory, although their influence is more predominant in public online spaces-such as search engines-than within the work of professional institutions dedicated to teaching about and commemorating this past.  \n How might Holocaust organisations harness the possibilities of these technologies for 'good'?  \n What challenges do they need to navigate to achieve this?  \n What support do they need, and from whom, to manage this substantial task?  \nHolocaust education and memory developed within and alongside the so-called broadcast era of seemingly fixed, closed te","cbCairWg5WRBqJgp","https://ap.wps.com/l/cbCairWg5WRBqJgp","pdf",425658,1,24,"English","en",105,"# Foreword\n## Recommendations\n## Discussion Summary\n## Methodology","[{\"question\":\"Why does the report emphasize “invisible processes” behind digital Holocaust projects?\",\"answer\":\"It highlights that most commentary focuses on what users see at the interface, while less attention is given to how data retrieval and underlying processes shape user experience.\"},{\"question\":\"How can AI and machine learning support Holocaust education and memory, according to the report?\",\"answer\":\"The report notes that these technologies can enable more varied entry and exit points and journeys through large data sets, supporting more flexible digital education approaches.\"},{\"question\":\"What challenges must Holocaust organizations navigate to use these technologies responsibly?\",\"answer\":\"Organizations need to understand the logics of how AI and machine learning are applied, and ensure historical knowledge and source comprehension guide the use of these systems.\"}]","Digital Holocaust Memory Project - 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