Wiki source code of Alisa34
Last modified by Judith Steinfeld on 2025/03/26 12:23
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| 1 | With regulations in place covering every legal aspect of any process in the nuclear industry, the research project Alisa34 aims at easing the process of nuclear decommissioning - one of a kind in terms of scale and complexity. The expectation level towards personnel couldn't be higher: Rules and regulations about (de-)commissioning of nuclear facilities date back decades into the 1980s and even further with knowledgable workforce retiring, which, together with a sustained talent gap, makes this mix a massive challenge for Germany's ambition in regards to its energy transition. | ||
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| 3 | Alisa34 aims to tackle this problem with the help of AI and its potential to collect, memorize and replicate patterns found in large text corpora. In order to solve the challenge and improve application processes within nuclear decommissioning by (partial) automization, Alisa34 will be based on four components: | ||
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| 5 | ~1. Data collection and de-siloing | ||
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| 7 | 2. Large Language Models for information retrieval | ||
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| 9 | 3. AI Safety components for machine-learning whiteboxing | ||
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| 11 | 4. Agent-based system for process automation and stakeholder management |
