Submitted:
17 May 2026
Posted:
20 May 2026
You are already at the latest version
Abstract
Keywords:
1. Introduction
2. Literature Review
2.1. Bioprospecting, Biopiracy, and the Knowledge–Resource Nexus
2.2. Indigenous Data Sovereignty
2.3. Digital Capitalism and Algorithmic Extraction
2.4. Indigenous Gnoseology, Reciprocity, and the Rakhain Standpoint
3. Methodology
3.1. Research Design and Epistemological Positioning
3.2. Methods
3.3. Ethical Protocols
3.4. Analytical Framework
4. Findings
4.1. Rakhain Healing Knowledge as a Relational System
4.2. Eight Governance Concerns Identified in Fieldwork
4.3. A Rakhain Digital Healing Sovereignty Framework
5. Critical Analysis
5.1. The Structural Inadequacy of Existing Legal Frameworks
5.2. The Epistemological Gap in Governance Design
5.3. University Research and the Procedural Ethics Trap
5.4. Artificial Intelligence Governance and Indigenous Knowledge
5.5. Reciprocal Guardianship as a Governance Paradigm
6. Conclusion
Declaration of Competing Interests
References
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| Pillar | Operational Specification |
| 1. Community authority | A Rakhain-led Healing Knowledge Council governs all research, digitisation, access, and benefit-sharing decisions. External actors serve in advisory roles only when invited. |
| 2. Continuing consent | Consent is collective, specific, revisable, and addresses all anticipated future uses: AI training, cross-border transfer, commercial research, and publication. Undisclosed future uses require new consent. |
| 3. Tiered classification | Knowledge is classified into four levels: (i) public, (ii) educational, (iii) restricted, (iv) sacred/non-digitisable. Classification is made by the community, not by researchers. |
| 4. Right not to digitise | The right not to digitise is a legitimate governance principle. Some knowledge is protected precisely through oral transmission and must not be recorded under any institutional pressure. |
| 5. Reciprocal benefit | Benefits are substantive: Rakhain-language educational materials, healer recognition, ecological conservation funding, legal support, research training, and — where applicable — financial returns through community trust funds. |
| 6. Data security | Restricted materials require encryption, role-based access controls, and access logging. No materials are uploaded to third-party cloud platforms without explicit community agreement. |
| 7. Ecological protection | Exact locations of rare or vulnerable medicinal species are withheld, generalised, or restricted to internal community use. Ecological data is treated as community asset, not public information. |
| 8. Post-research accountability | Researchers submit outputs to the community council before publication of sensitive materials. Plain-language summaries are provided. Reuse is reported, and withdrawal requests are honoured. |
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