| | --- |
| | license: other |
| | license_name: alerterra-commercial |
| | license_link: https://alerterra.com/data-license |
| | tags: |
| | - synthetic |
| | - regulation |
| | - ai-governance |
| | - legislative |
| | - compliance |
| | - policy |
| | size_categories: |
| | - 1K<n<10K |
| | language: |
| | - en |
| | pretty_name: "AI Regulatory Change Intelligence Dataset" |
| | extra_gated_prompt: "Access this dataset by providing your details below. You'll get instant access to the free sample (100 records). Contact data@alerterra.com for the full dataset." |
| | extra_gated_fields: |
| | Company: text |
| | Role: text |
| | Country: country |
| | "I agree to Alerterra's data usage terms": checkbox |
| | --- |
| | |
| | # AI Regulatory Change Intelligence Dataset |
| |
|
| | > Bill lifecycle tracking with momentum scores and jurisdiction contagion patterns |
| |
|
| | **Publisher:** [Alerterra Intelligence](https://alerterra.com) | **Version:** 1.0 | **Updated:** March 2026 |
| |
|
| | ## Overview |
| |
|
| | This dataset is part of the **Alerterra Synthetic Intelligence Data Suite** — 167 records across 28 fields, generated using domain-specific AI models trained on patterns from Alerterra's enterprise intelligence platform. |
| |
|
| | **100% synthetic** — zero PII, zero real entity data. Safe for AI/ML model training, system testing, compliance demonstrations, and analyst training. |
| |
|
| | ## Use Cases |
| |
|
| | - Train regulatory prediction models on bill lifecycle patterns |
| | - Test compliance monitoring systems against realistic regulatory changes |
| | - Analyze jurisdiction contagion patterns for strategic planning |
| | - Build regulatory impact scoring engines |
| | - Support policy analysis and advocacy strategy |
| |
|
| | ## Dataset Structure |
| |
|
| | | Metric | Value | |
| | |--------|-------| |
| | | Records | 167 | |
| | | Fields | 28 | |
| | | Formats | CSV, JSON, Parquet | |
| | | Update Frequency | Monthly | |
| |
|
| | ### Fields |
| |
|
| | | Field | Type | Description | |
| | |-------|------|-------------| |
| | | `change_id` | object | Change Id | |
| | | `title` | object | Title | |
| | | `summary` | object | Summary | |
| | | `jurisdiction` | object | Jurisdiction | |
| | | `jurisdiction_level` | object | Jurisdiction Level | |
| | | `framework` | object | Framework | |
| | | `status` | object | Status | |
| | | `severity` | object | Severity | |
| | | `impact_score` | float64 | Impact Score | |
| | | `affected_ai_categories` | object | Affected Ai Categories | |
| | | `affected_industries` | object | Affected Industries | |
| | | `compliance_deadline` | object | Compliance Deadline | |
| | | `enforcement_start_date` | object | Enforcement Start Date | |
| | | `key_requirements` | object | Key Requirements | |
| | | `penalties` | object | Penalties | |
| | | `max_penalty_usd` | float64 | Max Penalty Usd | |
| | | `max_penalty_revenue_pct` | float64 | Max Penalty Revenue Pct | |
| | | `momentum_score` | float64 | Momentum Score | |
| | | `contagion_probability` | float64 | Contagion Probability | |
| | | `related_jurisdictions` | object | Related Jurisdictions | |
| | | `advocacy_pressure_score` | float64 | Advocacy Pressure Score | |
| | | `industry_opposition_score` | float64 | Industry Opposition Score | |
| | | `source_type` | object | Source Type | |
| | | `source_url` | object | Source Url | |
| | | `published_date` | object | Published Date | |
| | | `last_updated` | object | Last Updated | |
| | | `ai_analysis_summary` | object | Ai Analysis Summary | |
| | | `remediation_steps` | object | Remediation Steps | |
| |
|
| | ## Sample Data |
| |
|
| | This repository contains a **free sample** (100 records). The full dataset and monthly refresh subscriptions are available at [alerterra.com](https://alerterra.com). |
| |
|
| | ### Pricing |
| |
|
| | | Tier | Details | |
| | |------|---------| |
| | | Sample | Free (100 records) | |
| | | Standard | $2,000 (3K changes, one-time) | |
| | | Professional | $8,000/year (monthly refresh) | |
| | | Enterprise | $15,000-$50,000/year (custom jurisdictions, API) | |
| |
|
| | ## Methodology |
| |
|
| | Generated using Claude AI with domain-specific context injection encoding Alerterra's intelligence platform expertise (Vigila, Tradana, Gradara, Condura, Scrutera, RegSeal). Every dataset undergoes automated statistical validation, correlation analysis, and domain-specific business rule checks. |
| |
|
| | ## Citation |
| |
|
| | ```bibtex |
| | @dataset{alerterra_regulatory_changes_2026, |
| | title = {AI Regulatory Change Intelligence Dataset}, |
| | author = {Alerterra Intelligence}, |
| | year = {2026}, |
| | publisher = {Hugging Face}, |
| | url = {https://huggingface.co/datasets/alerterra/regulatory_changes} |
| | } |
| | ``` |
| |
|
| | ## Contact |
| |
|
| | - **Website:** [alerterra.com](https://alerterra.com) |
| | - **Data inquiries:** data@alerterra.com |
| | - **Enterprise:** enterprise@alerterra.com |
| |
|
