Societies have always used their heritage to remain resilient and to express their cultural identities. Today, all the still-available experiences accrued by human societies over time and across space are, in principle, essential in coping with the twenty-first century grand challenges of humanity (refer to the 17 UN Sustainable Development Goals). Artificial intelligence and machine learning algorithms can assist the next generation of historians, heritage stakeholders, and decision-makers in (1) decoding unstructured knowledge and wisdom embedded in selected cultural artefacts and social rituals, (2) encoding data in machine-readable systems, (3) aggregating information according to the user’s needs in real time, and (4) simulating the consequences of either erasing, neglecting, putting in latency, or preserving and sharing specific human experiences. What our global society needs is a multilingual and transcultural approach to decode-encode the treasure of human experience and transmit it to the next generation of world citizens. This approach can be the pathway to work on a new science of heritage, its ethics, and empathy.

中文翻译：

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定义遗产科学：通过历史方法，人工智能和机器学习解决可继承人类经验的复杂性的统一途径

社会一直使用其遗产来保持韧性并表达其文化特征。如今，原则上，人类社会随着时间和跨空间积累的所有仍然可用的经验对于应对二十一世纪人类的巨大挑战至关重要（请参阅17个联合国可持续发展目标）。人工智能和机器学习算法可协助下一代历史学家，遗产利益相关者和决策者进行以下工作：（1）解码嵌入在选定的文化文物和社会仪式中的非结构化知识和智慧，（2）在机器可读系统中对数据进行编码， （3）根据用户的需求实时汇总信息，以及（4）模拟擦除，忽略，增加延迟的后果，或保存和分享特定的人类经验。我们全球社会需要的是一种多语言和跨文化的方法，以对人类经验的珍宝进行解码-编码，并将其传播给下一代的世界公民。这种方法可以成为研究新的遗产科学，伦理学和同理心的途径。