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January 2, 2025
Historical research is on the verge of a tremendous leap forward. Artificial intelligence (AI) makes it possible to access ancient texts on a scale that was unimaginable for decades. This development holds the potential to fundamentally change our understanding of past cultures.
AI systems are already being successfully used to reconstruct damaged or fragmented texts. By training with large datasets of ancient writings, the algorithms learn to supplement missing parts and thus restore the original content. Furthermore, AI-supported translation programs can help decipher ancient languages and make them accessible for research. This opens up new possibilities for the exploration of cultures whose languages were previously only accessible to a few experts.
The work of historians is often tedious and time-intensive. The examination and cataloging of historical documents, inscriptions, and artifacts requires enormous patience and precision. AI can automate these processes and thus give researchers more time for the actual interpretation of the sources. By analyzing patterns and connections in large amounts of text, AI can also provide new insights and uncover previously unknown connections.
Mindverse, a German company specializing in AI-powered content solutions, offers a wide range of tools for historical research. From text creation and analysis to image processing and the development of customized AI solutions such as chatbots, voicebots, and AI search engines – Mindverse supports historians in their work and enables them to fully exploit the potential of AI.
The application of AI in historical research offers enormous opportunities, but also poses challenges. It is important to critically examine the results of AI analyses and to be aware of the limitations of the technology. AI can be a valuable tool, but it should not replace human expertise, but rather complement it. The collaboration of historians and AI experts is crucial to fully exploit the potential of this technology and gain a comprehensive understanding of the past.
The integration of AI into historical research is still in its early stages, but the results so far are promising. It is to be expected that AI will play an increasingly important role in historical research in the future and will contribute to a deeper understanding of our history. The development of new AI-supported tools and methods will further advance research and open up new perspectives on the past.
Bibliography: - https://www.heise.de/ - https://www.archaeologie-online.de/blog/ki-bietet-grosses-potenzial-fuer-die-erforschung-antiker-literatur-5185/ - https://www.cio.de/a/die-geschichte-der-kuenstlichen-intelligenz,3251651 - https://projects.research-and-innovation.ec.europa.eu/de/projects/success-stories/all/anhand-von-klassikern-trainierte-ki-hilft-der-geschichtsforschung-luecken-zu-fuellen - https://www.leopoldina.org/fileadmin/redaktion/Publikationen/NAL-historica/NAL-historica_83.pdf - https://www.deutschlandfunk.de/forscher-entwickeln-texterkennung-fuer-antike-schrifttafeln-100.html - https://www.finanzen.at/nachrichten/aktien/eqs-pvr-delivery-hero-se-ver&246;ffentlichung-gem&228;&223;-&167;-40-abs-1-wphg-mit-dem-ziel-der-europaweiten-verbreitung-1034185527 - https://publica.fraunhofer.de/bitstreams/072c79c5-1836-4e9c-8143-54d81d19ea11/download - https://www.ethikrat.org/fileadmin/Publikationen/Stellungnahmen/deutsch/stellungnahme-mensch-und-maschine.pdf ```