Human–AI Ledger (HAIL) v1.0

Overview

The Human–AI Ledger (HAIL) defines a structured, repeatable workflow for human–AI collaboration. It captures ethical, creative, and procedural context through structured checkpoints and a session ledger. HAIL is designed to facilitate transparency, legibility, and auditability in co-creative AI processes.

HAIL is descriptive, model-agnostic, and implementation-flexible: it can be applied across language models and creative domains to track provenance, decision points, and ethical considerations.

Repository Contents

• Workflow Instructions: HAIL_Workflow_v1.0.md — step-by-step human-readable guidance.
• Session Ledger Schema: HAIL_Schema_v1.0.yaml — machine-readable YAML for validation.
• Proposed Extensions & Future Directions: HAIL_Extensions_v1.0.md — session comparisons, metrics, prompt libraries.
• Diagrams: HAIL_Workflow_Diagram_v1.0.md — visual overview of the workflow.
• README.md: summary, citation info, links to files.

Citation

Troendle, Evan P. (2026). Human–AI Ledger (HAIL): A Structured Workflow for Traceable, Reproducible Human–AI Collaboration (Version 1.0). Zenodo. https://doi.org/10.5281/zenodo.17597705

Usage

• Review the stepwise workflow in HAIL_Workflow_v1.0.md.
• Adapt the Seed Block, Goal Statement, and Checkpoint structure for your own human–AI collaboration session.
• Optionally record session provenance (timestamps, model version, reflections) to generate a complete Session Ledger.

Keywords

human-AI collaboration, reproducibility, ethics, provenance, workflow design, FAIR data, AI transparency, AI governance, human-in-the-loop, explainable AI