<li>Artificial intelligence is interesting, but not an end in itself: we are developing AI for public welfare goals, increasing data availability, working in an interdisciplinary manner and seeking a broad social dialogue in development. </li> <li>Visitors become users: Not just looking, but finding independent access and deciding for yourself how you want to reuse the collection. We work with a CC-0 licence so that free access to culture is possible and subsequent use is legally secure.  </li> <li>Many of the objects are not accessible in on-site exhibitions and are being made digitally accessible here for the first time. We want to offer users worldwide independent access to the museum's collections from any location.</li> <li>Everyone has different interests in terms of content: We support individual access to the collections.</li> <li>We often know little about the background when we look at an object: We improve data availability and data quality with the aim of making it easier to access content-related contexts. </li> <li>So many things - how am I supposed to get an overview or access? We improve the searchability and findability of digital museum objects. </li> <li>The tool is not a single AI, 'the' museum AI or a single neural network, but offers support for individual user requirements through machine learning processes and AI models. </li> <li>The requirements for desired access to the digital collection of the users of the Badisches Landesmuseum and the Allard Pierson Museum always take centre stage. </li>

What AI strategy is behind this?

<li>To create a story, we ask you to register. You can publish your story for others. For data protection reasons and for content quality assurance, we need your registration here. Your data is safe with us. Please also note the <termsLink>terms of use</termsLink> and <privacyLink>privacy policy</privacyLink>. </li>

What happens to my data?

<li>Ethics guidelines: Our AI initiative is based on the recommendations of the German Ethics Council of 2023. </li> <li>Support through AI: Our aim is to use AI to support visitors and provide better access to art and culture. AI solutions are used in the tool to improve the ability to act in the context of the digital museum visit. We endeavour to promote a realistic understanding of artificial, or rather machine intelligence. </li> <li>Labelling of machine results: We ensure that all content generated by AI is clearly labelled as such to ensure transparency.</li> <li>Avoid misleading AI imagery: We avoid portraying AI as omnipotent in order to promote realistic expectations.</li> <li>No anthropomorphism: We avoid humanising AI in order to promote a clear understanding of how it works.</li> <li>Diversity and internationality in the team: Our international and diverse team involves different user groups in development right from the start.</li> <li>Research and development standards: We always orientate ourselves to the current state of research and development in order to ensure the quality and relevance of AI applications.</li>

What ethical guidelines were observed when using and developing machine intelligence?

<li>For cultural heritage fans and collection enthusiasts - techies and developers - co-thinkers and creatives.</li><li>For pupils, students, researchers or people with special interests in cultural history.</li>

Who is xCurator for?

<li>Wild story - better not ask. There was pizza, Club Mate and online meetings. </li> <li>There were various <dataLabLink> hackathons where wild ideas were developed</dataLabLink>. </li> <li>A group of interested AI pilots accompanied the project from the start of development and provided information on their wishes and requirements for AI-supported access to the collection. The tool development was only possible thanks to many discussions and digital volunteering - thank you very much! </li> <li>The <dreipc>3pc</dreipc> team worked on the concept and implementation in 2022 and 2023. </li> <li>The advisory board of the Badisches Landesmuseum has contributed important suggestions for the tool development!</li> <li>The team at the Badisches Landesmuseum and Allard Pierson have had many discussions about the appropriate approach to machine intelligence. </li> <li>In addition, many experts from around the world have contributed knowledge and tips. You can find the list of contributors <dataLabLink>here</dataLabLink>. </li>

How was the tool developed?

<li>You can create stories with AI support and thus help to make your most important stories accessible to others. </li> <li>You can give feedback if results are unclear or incorrect. We use the feedback to improve the AI processes in the background. </li> <li>You can take a look at the code <codeLink>here</codeLink> and make suggestions on how we can improve the tool. </li> <li>For questions or ideas, simply contact creative@landesmuseum.de </li>

How can I contribute to development and improvement?

<li>Recommendations for use in schools can be found <recommendation>here</recommendation>.</li> 

How can I use the tool in schools or educational work?

<li>These contents were generated using Artificial Intelligence. Please note that human judgment is necessary to ultimately assess accuracy. Content is often not 100% accurate but, for example, only 90% likely. Therefore, it's crucial to critically evaluate the results!</li><li>This translation was generated by a machine.</li><li>These keywords were machine-generated through an Entity Recognition algorithm.</li><li>These images are machine-recognized to provide you with more probable search results.</li><li>These connections are pre-sorted for you by an image clustering algorithm.</li><li>This text was automatically generated by a language model. Please carefully review it to ensure it is suitable for your purposes and linguistically and contextually accurate.</li>

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<li>Discover: Your view into history: You can immerse yourself in 50,000 years of cultural history, discover connections and develop your own stories. With an experimental neuronal search, you will find exciting and surprising motifs. </li><li>Create: You can write stories for others and share them. Here you can use high-quality story templates and customise or further develop them according to your wishes. </li><li>Let machine intelligence support you: various methods of machine learning and generative artificial intelligence will help you and perhaps surprise you with a new perspective?</li><li>Help the museum: Sometimes the algorithms still have to learn from you. Do you want to confirm correct content and give feedback to others? If you notice anything, we would be delighted to receive your feedback so that we can improve the AI training in the long term! </li>

What can I do here?

<li>Artificial intelligence (AI) is a field of computer science. It involves getting computers to act in certain ways that humans perceive as intelligent. <ideaLink>The idea is over 100 years old</ideaLink> and today's technology can be used in various applications. You can find artificial intelligence in your smartphone or in your music recommendations. What has been new in recent years is the development of generative technologies that enable images or texts to be created automatically. This is why it is often said that artificial intelligence can also be 'creative'. You can find many exciting <learningLink>learning resources here</learningLink>.</li><li>Artificial intelligence refers to various technologies, such as artificial neural networks for image recognition or language models for translating or creating texts. </li><li>Incidentally, we prefer to talk about machine intelligence and have already discussed this a lot. <readMore>You can read about it here</readMore>. </li><li>In xCurator, machine intelligence is used to make the digital collections more accessible, personalised and interest-driven, and to help you make connections and create your own stories. </li><li>This sometimes works quite well and is helpful, but sometimes we perceive machine-generated results as 'wrong' because many calculations are probabilities or approximate values and a 100% accuracy rate can only be achieved with human help. We must therefore learn to deal with these approximate values, to critically assess machine-generated results or to process them correctly ourselves. This is sometimes not so easy to bear. </li><li>Perhaps you like collecting errors or helping us to improve the algorithms? You can use the feedback functions to help assess and train machine-generated results and improve the processes.</li><li>Please note that machine intelligence is not human intelligence - your own judgement is always most important. </li>

What does artificial intelligence mean?

<li>Wherever you see this symbol<imageLiSmall></imageLiSmall>, we use machine learning or show results with the help of generative artificial intelligence:</li><li>Intelligent search: How creatively can you search? The system suggests objects that match your specified interests and searches. On the homepage, museum objects are sorted into so-called clusters, which help you to access the variety of objects in the collection more quickly and coherently. The intelligent search includes a visual search based on similarities and pattern recognition and algorithms pre-sort the variety of content for you. Just give it a try! </li><li>You can use intelligent filter options to expand or narrow down the search by colour, time, material and location.</li><li>Machine-generated keywords and intelligent enrichment: New keywords were generated from the image and text information to help create new connections between things. Help the museum by assessing the quality of the keywords and automatic links. </li><li>Similarity search and recommendations: The images of the objects have been analysed and made accessible via an image search, which means that colours, motifs, objects and themes in images are recognised. Images are sorted into groups by the system so that you are shown content and visual connections. When you create a new story, you will receive recommendations based on your search and title details as to which objects might be suitable. </li><li>Personalised settings allow you to find more exciting things more quickly and discover your individual approach to the past. Your personal data is safe with us and is not processed by artificial intelligence processes. </li><li>Generative texts: The tool helps you to create texts and recognise connections between things. You can use xCurator as a co-pilot to develop new, creative and exciting contexts. We have worked a lot on the data basis so that the language model doesn't hallucinate so much, but instead draws on the collection data and really new and exciting content. However, you can give the language model hints as to what it should do for you. But be careful, you have to judge the results of the language model yourself! Simply use the museum texts to help you. </li><li>For security reasons, we have preset the prompts. If you have any good suggestions on how the prompts can be improved or if you would like a specific prompt for your story, the museum would be happy to hear from you!</li>

Where is artificial intelligence here? 

<li>xCurator was developed as a reusable and customisable open source software solution, which can be understood in detail here:<gitLink> https://github.com/Badisches-Landesmuseum/xcurator</gitLink> </li> <li>xCurator uses various machine learning methods to support you in indexing, understanding and your own production process. xCurator uses methods from the fields of natural language processing, entity extraction and entity linking, image recognition, intelligent search, multimodal methods and generative language models. </li> <li>Solutions and models from Elastic Search, Open Clip, DeepL, Spacey, <elasticSimilarLink>Elasticsearch Similarity</elasticSimilarLink>;<elasticSearchSpring> Elasticsearch Queries with Spring Data</elasticSearchSpring>;<mappingTypes> Alternatives to mapping types</mappingTypes>;<elasticSearchRelation> Managing Relations Inside Elasticsearch</elasticSearchRelation>; <dslQuery>Query DSL</dslQuery>, <elasticSearchDoc>Py ElasticSearch Documentation</elasticSearchDoc>, <elasticSearchDoc>Py ElasticSearch GitHub</elasticSearchDoc>,<entiyLinker> Radbound Entity Linker (REL)</entiyLinker>; <flairLink>flairNLP (Beta)</flairLink>,<openClip> OpenClip </openClip> a solution from <pixSolution>https://github.com/pixolution/embeddings-grid</pixSolution> are currently used. </li> <li>We are currently testing the quality of a <qualityTest> Named Entity Recognition and Entity Linking System</qualityTest> together with the Staatsbibliothek zu Berlin - Preußischer Kulturbesitz (https://staatsbibliothek-berlin.de/) from the QURATOR - Curation Technologies project (https://qurator.ai/) and are improving the hit rate for you: </li> <li>We have discussed, researched and tested a lot: The tool currently also uses the language model solution from OpenAI. Why? Because language models characterise our present day and offer opportunities as well as risks. Because it is important to actively engage with the effects of forms of artificial intelligence such as language models - including in protected spaces and through culture. Here you can practise creating content with the help of language models on a solid factual basis. Your new super skill will be prompting and fact-checking, I promise! </li> <li>In the <gitLink>technical documentation </gitLink> and the <dataLabLink> Datalab</dataLabLink>, you can find out more about the technologies and background and also an experimental place that is also exciting for curious people, researchers and developers. Simply join in and become part of the cosmos! </li>

Which AI processes and models were used exactly?

<li>Artificial intelligence should be used ethically and for the common good and support human authorship and responsible behaviour. With xCurator, we worked with the public and experts to find ways to make the digital museum more accessible. </li><li>Machine learning and deep learning can be used to take a fresh look at what already exists. The ability of artificial neural network processes to reorganise archives or exhibits in collections can make new connections visible. </li><li>In the Creative User Empowerment project, various methods were investigated and developed to create new access to digital collections using machine intelligence. The focus was always on the question of how the processes can best support users and what role and image we want to attribute to artificial intelligence. We know from the history of ideas that ideas about abstract concepts change over time. Our understanding of artificial intelligence must therefore always be understood historically. <dataLabLink>To the project documentation and experimental space</dataLabLink>. </li>

Why do we use Artificial Intelligence?

<li>Yes, of course, you can <museumLink> go to the museum </museumLink> in analogue form or find other digital offers <digitalLink> here </digitalLink>. You're sure to discover other topics and stories there. The museum looks forward to seeing you!</li>

Is it possible without Artificial Intelligence?

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