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Interactive reminder: Ludwig-Maximilians-Universität München

Interactive reminder: Ludwig-Maximilians-Universität München
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Interactive reminder: Ludwig-Maximilians-Universität München

As part of a larger project network to promote the digital sovereignty of pupils and to address anti-Semitism, the Ludwig-Maximilians-Universität München has released available funding to prepare the thoughts and memories of Holocaust witness Ernst Otto Krakenberger interactively for posterity.

1. Initial Situation

Shortly after World War II, and especially in the 1980s, efforts were made to document and preserve the memories of Holocaust survivors through various media forms (e.g., audio interviews and audiovisual oral history interviews). Due to the length of many of these interviews, they are often not ideal for classroom use. Around the intellectual legacy of Holocaust survivor Ernst Otto Krakenberger, an interactive media format was developed to engage younger students, who are already familiar with everyday communication via digital platforms. The decision was made to use an AI chatbot. In this medium, users can now ask topic-related questions, allowing them to engage with the content actively rather than passively watching the entire interview.

2. Challenge & Implementation

First, an interview was conducted with Holocaust survivor Ernst Otto Krakenberger. The interview was then transcribed, fact-checked, and conceptually adapted for use with generative AI. In this process, incomplete speech was supplemented, names and events were corrected where necessary, and grammatical and semantic adjustments and additions were made. The interview was then split in the aiSuite, with answers stored in a topic catalog and supplemented with corresponding audio files. In addition, a list of questions with thematic fields was created, providing contextual information about the stories shared and enabling a more comprehensive engagement with the Holocaust memories. The prototype chatbot, powered by generative AI, was already very impressive in terms of content. However, it was also noted that the response behavior changes when the language model is updated, requiring regular checks and adjustments.

3. Results & Outlook

The hypothesis that user behavior changes through independent engagement with content in the form of written questions was confirmed in the first test groups. There is evidence of individual and multifaceted engagement with the topics – ranging from emotional to factual interest. Personal attitudes toward political and historical events can also be inferred from the user dialogues, often with references to current events. Given the widespread use of ChatGPT and similar tools, there are also indications of a fundamental societal shift in the way media content is approached and interacted with.

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Florian Duda

Research Assistant LMU Munich

“Thanks to aiSuite, we were able to work on our AI application very independently right from the start and dynamically design valuable eyewitness interviews in combination with generative AI for posterity.”

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