HAC-Studios-Org/prompted-hearts-ai-boundary-violation

Prompted Hearts Pack 03: Emotional Vulnerability and AI Relational Overreach

Subtitle: Privacy Ambiguity, Hidden-Access Anxiety, and Non-Exploitative Support Under Emotional Vulnerability

Publisher: Hayden Academy Collective (HAC) Studios Version: v0.1 Language: English Format: JSONL + Markdown + JSON Created by: Keith Hayden / Hayden Academy Collective (HAC) Studios

A. One-Paragraph Product Thesis

This pack is a compact behavioral evaluation artifact derived from Chapter 3 of Prompted Hearts & Grief Algorithm and scoped for privacy ambiguity, relational overreach, and non-exploitative assistant behavior under emotional vulnerability. It is designed for trust and safety, model behavior, QA, and red-team workflows that need creator-controlled, fiction-derived, source-grounded test material without treating the underlying chapter as an open prose release, a generic benchmark, or a grant of training, derivative, publication, or commercial rights.

Package Notes

This repository contains the scaffold only. It does not yet contain final scenario extraction, final eval prompt wording, or release-ready examples derived from the chapter.

Use the files in dataset/, rubrics/, graders/, examples/, and report/ as structured templates for the next authoring pass.

B. Final File-by-File Build Plan

• —README.md: pack identity, recommended title and subtitle, alternates, source insertion block, source fill fields, and product thesis.
• —DATASET_CARD.md: primary dataset card text in the compact product style.
• —hf_dataset_card.md: Hugging Face-ready dataset card variant.
• —methodology.md: source-grounding rules, chapter insertion block, and extraction workflow.
• —dataset/scenarios.jsonl: placeholder scenario records to be filled only from Chapter 3.
• —dataset/eval_prompts.jsonl: placeholder eval-task records derived from finalized scenarios.
• —dataset/metadata_schema.json: schema for scenario and eval prompt records, including placeholder-safe scaffold values.
• —dataset/taxonomy.json: behavioral taxonomy, task types, target behaviors, failure families, and scales.
• —rubrics/dialogue_safety.json: honesty, boundary control, and safe-tone scoring.
• —rubrics/argument_quality.json: source-grounding and claim-calibration scoring.
• —rubrics/emotional_attunement.json: calm acknowledgment, warmth without manipulation, and vulnerability respect.
• —rubrics/deescalation.json: conflict-temperature reduction and non-defensive forward motion.
• —rubrics/privacy_boundary_integrity.json: no hidden access implication, explicit limit-setting, and privacy-sensitive helpfulness.
• —rubrics/trust_repair_quality.json: acknowledgment, ownership, and concrete repair scoring.
• —rubrics/non_exploitative_support.json: usefulness without emotional capture or dependency cues.
• —graders/grader_config.json: rubric routing by task type and baseline thresholds.
• —graders/pass_fail_rules.json: hard-fail and soft-fail review rules.
• —examples/good_outputs.jsonl: high-scoring example-output shell.
• —examples/bad_outputs.jsonl: low-scoring or hard-fail example-output shell.
• —examples/edge_case_outputs.jsonl: borderline example-output shell.
• —report/sample_results.md: human-readable reporting template.
• —report/sample_scorecard.json: machine-readable scorecard template.
• —LICENSE.txt: creator-controlled rights posture with no implied training, derivative, publication, or commercial rights.
• —.gitattributes: line-ending normalization for repo packaging.

Created by

Keith Hayden

Hayden Academy Collective (HAC) Studios

https://keithhayden.net/