Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/144492
Title: Defining heritage science : a consilience pathway to treasuring the complexity of inheritable human experiences through historical method, AI and ML
Authors: Nanetti, Andrea
Keywords: Humanities
Issue Date: 2021
Source: Nanetti, A. (2021). Defining heritage science : a consilience pathway to treasuring the complexity of inheritable human experiences through historical method, AI and ML. Complexity, 2021. https://dx.doi.org/10.1155/2021/4703820
Journal: Complexity
Abstract: 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.
URI: https://hdl.handle.net/10356/144492
ISSN: 1076-2787
DOI: 10.1155/2021/4703820
Rights: © 2021 Andrea Nanetti. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:ADM Journal Articles

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