Presentation Open Access
Sylvia Melzer;
Stefan Thiemann;
Hagen Peukert
<?xml version='1.0' encoding='utf-8'?> <resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-3" xsi:schemaLocation="http://datacite.org/schema/kernel-3 http://schema.datacite.org/meta/kernel-3/metadata.xsd"> <identifier identifierType="DOI">10.25592/uhhfdm.13423</identifier> <creators> <creator> <creatorName>Sylvia Melzer</creatorName> <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-0144-5429</nameIdentifier> <affiliation>Universität Hamburg</affiliation> </creator> <creator> <creatorName>Stefan Thiemann</creatorName> <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-8300-2519</nameIdentifier> <affiliation>Universität Hamburg</affiliation> </creator> <creator> <creatorName>Hagen Peukert</creatorName> <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-3228-316X</nameIdentifier> <affiliation>Universität Hamburg</affiliation> </creator> </creators> <titles> <title>3rd Workshop on Humanities-Centred Artificial Intelligence (CHAI 2023)</title> </titles> <publisher>Universität Hamburg</publisher> <publicationYear>2023</publicationYear> <subjects> <subject>UWA</subject> <subject>CSMC</subject> <subject>KI2023</subject> <subject>AI</subject> <subject>RFF</subject> <subject>Data Linking</subject> <subject>Natural Language Processing</subject> <subject>BERT</subject> <subject>DL01</subject> <subject>CHAI</subject> <subject>Humanities</subject> <subject>Topic Modelling</subject> <subject>Responsible AI</subject> <subject>FreSH</subject> </subjects> <dates> <date dateType="Issued">2023-09-26</date> </dates> <language>en</language> <resourceType resourceTypeGeneral="Text">Presentation</resourceType> <alternateIdentifiers> <alternateIdentifier alternateIdentifierType="url">https://www.fdr.uni-hamburg.de/record/13423</alternateIdentifier> </alternateIdentifiers> <relatedIdentifiers> <relatedIdentifier relatedIdentifierType="URL" relationType="IsReviewedBy">https://easychair.org/my/conference?conf=ki2023</relatedIdentifier> <relatedIdentifier relatedIdentifierType="URL" relationType="IsDocumentedBy">https://ki2023.gi.de/program</relatedIdentifier> <relatedIdentifier relatedIdentifierType="DOI" relationType="IsPartOf">10.25592/uhhfdm.13422</relatedIdentifier> </relatedIdentifiers> <rightsList> <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights> <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights> </rightsList> <descriptions> <description descriptionType="Abstract"><p>AI can support research in the Humanities making it easier and more efficient. It is thus essential that AI practitioners and Humanities scholars take a Humanities-centred approach to the development, deployment and application of AI methods for the Humanities.</p> <p>The presentations of the 3rd CHAI workshop were as follows:</p> <ul> <li>Hagen Peukert: <strong>Keynote: Humanities-Centred AI: Where we are coming from! Where we are heading?</strong></li> <li>Simon Schiff, Ralf M&ouml;ller: <strong>Persistent Data, Sustainable Information</strong> (<a href="https://www.fdr.uni-hamburg.de/record/13423/files/presentation1.pdf?download=1">download presentation</a>)</li> <li>Sabrina G&ouml;llner, Marina Tropmann-Frick: <strong>Bridging the Gap between Theory and Practice: Towards Responsible AI Evaluation </strong>(<a href="http://www.fdr.uni-hamburg.de/record/13423/files/presentation2.pdf?download=1">download presentation</a>)</li> <li>Magnus Bender, Kira Schwandt, Ralf M&ouml;ller, Marcel Gehrke: <strong>FrESH &ndash; Feedback-reliant Enhancement of Subjective Content Descriptions by Humans </strong>(<a href="http://www.fdr.uni-hamburg.de/record/13423/files/presentation3.pdf?download=1">download presentation</a>)</li> <li>Nadja Redzuan, Marcel Gehrke, Ralf M&ouml;ller, Tanya Braun: <strong>On Domain-specific Topic Modelling Using the Case of a Humanities Journal </strong>(<a href="http://www.fdr.uni-hamburg.de/record/13423/files/presentation4.pdf?download=1">download presentation</a>)</li> <li>Thomas Asselborn, Sylvia Melzer, Said Aljoumani, Magnus Bender, Florian Andreas Marwitz, Konrad Hirschler, Ralf M&ouml;ller: <strong>Fine-tuning BERT Models on Demand for Information Systems </strong><strong>Explained</strong><strong> </strong><strong>Using</strong><strong> Training Data </strong><strong>from</strong><strong> </strong><strong>Pre</strong><strong>-modern Arabic&nbsp;</strong>(<a href="http://www.fdr.uni-hamburg.de/record/13423/files/presentation5.pdf?download=1">download presentation</a>)</li> <li>Hussein Mohammed: <strong>Multimodal Artefacts: Exploring Vision-Language Models to Bridge the Modalities of Historical Written Artefacts </strong>(<a href="http://www.fdr.uni-hamburg.de/record/13423/files/presentation6.pdf?download=1">download presentation</a>)</li> <li>Sylvia Melzer, Hagen Peukert, Eliana Dal Sasso, Charles Li, Thomas Asselborn, Ralf M&ouml;ller: <strong>Federated Information Retrieval in Cross-Domain Information Systems </strong>(<a href="http://www.fdr.uni-hamburg.de/record/13423/files/presentation7.pdf?download=1">download presentation</a>)</li> </ul></description> <description descriptionType="Other">The KI2023 workshop – Humanities-Centred AI was supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy - EXC 2176 'Understanding Written Artefacts: Material, Interaction and Transmission in Manuscript Cultures', project no. 390893796.</description> </descriptions> </resource>