Insurability Bridge Layer (IBL): A Pre-Actuarial Classification Layer for Decision-Pathway Reconstructability in AI-Mediated Workflows
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| Format: | Recurso digital |
| Language: | English |
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Zenodo
2026
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| _version_ | 1866901555818528768 |
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| author | Gavaza, Victoria |
| author_facet | Gavaza, Victoria |
| contents | <p dir="ltr">This record introduces the Insurability Bridge Layer (IBL), a classification layer that defines the structural conditions under which liability can be assessed, transferred, and defended in AI-mediated workflows.</p> <p><strong> </strong></p> <p dir="ltr">The IBL establishes that insurability is determined not by system performance, compliance posture, or governance structures alone, but by whether decision pathways remain reconstructable and interruptible under failure conditions.</p> <p><strong> </strong></p> <p dir="ltr">This work positions the IBL as a pre-actuarial classification layer operating upstream of underwriting and actuarial assessment. It provides a classification signal that determines whether liability transfer is viable in principle.</p> <p><strong> </strong></p> <p dir="ltr">The document is intentionally limited to classification-level disclosure. It does not include underlying methodologies, operational mechanisms, system architectures, or implementation processes.</p> <p><strong> </strong></p> <p dir="ltr">This record establishes a formal boundary condition for insurability in AI-mediated environments.</p> <p> </p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19140414 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Insurability Bridge Layer (IBL): A Pre-Actuarial Classification Layer for Decision-Pathway Reconstructability in AI-Mediated Workflows Gavaza, Victoria AI Governance AI Insurability Decision Making Liability Risk Classification Underwriting AI Systems Accountability Auditability Decision Pathways Insurance Innovation <p dir="ltr">This record introduces the Insurability Bridge Layer (IBL), a classification layer that defines the structural conditions under which liability can be assessed, transferred, and defended in AI-mediated workflows.</p> <p><strong> </strong></p> <p dir="ltr">The IBL establishes that insurability is determined not by system performance, compliance posture, or governance structures alone, but by whether decision pathways remain reconstructable and interruptible under failure conditions.</p> <p><strong> </strong></p> <p dir="ltr">This work positions the IBL as a pre-actuarial classification layer operating upstream of underwriting and actuarial assessment. It provides a classification signal that determines whether liability transfer is viable in principle.</p> <p><strong> </strong></p> <p dir="ltr">The document is intentionally limited to classification-level disclosure. It does not include underlying methodologies, operational mechanisms, system architectures, or implementation processes.</p> <p><strong> </strong></p> <p dir="ltr">This record establishes a formal boundary condition for insurability in AI-mediated environments.</p> <p> </p> |
| title | Insurability Bridge Layer (IBL): A Pre-Actuarial Classification Layer for Decision-Pathway Reconstructability in AI-Mediated Workflows |
| topic | AI Governance AI Insurability Decision Making Liability Risk Classification Underwriting AI Systems Accountability Auditability Decision Pathways Insurance Innovation |
| url | https://doi.org/10.5281/zenodo.19140414 |