Defining heritage science : a consilience pathway to treasuring the complexity of inheritable human experiences through historical method, AI and ML
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 humanit...
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| Format: | Article |
| Language: | English |
| Published: |
2020
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| Online Access: | https://hdl.handle.net/10356/144492 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | 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. |
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