turfk/ai-governance-en
AI Governance - Enterprise Framework (EN) Reference bilingual dataset on enterprise artificial intelligence governance Created by AYI-NEDJIMI Consultants - AI, Cyberdefense & Compliance Expertise Description This dataset covers essential aspects of enterprise AI governance, including: AI TRiSM (Trust, Risk and Security Management) - Gartner Framework Enterprise AI Governance - Ethics committee, policies, audit, documentation Shadow AI - Detection, prevention, and… See the full description on the dataset page: https://huggingface.co/datasets/turfk/ai-governance-en.
AI Governance - Enterprise Framework (EN)
Reference bilingual dataset on enterprise artificial intelligence governance
Created by AYI-NEDJIMI Consultants - AI, Cyberdefense & Compliance Expertise
Description
This dataset covers essential aspects of enterprise AI governance, including:
- AI TRiSM (Trust, Risk and Security Management) - Gartner Framework
- Enterprise AI Governance - Ethics committee, policies, audit, documentation
- Shadow AI - Detection, prevention, and management of unauthorized AI
- Generative AI ROI - Metrics, benchmarks, and maturity model
- AI and GDPR Compliance - Obligations, DPIA, individual rights
- Data Privacy in LLMs - PII, retention, sovereignty
- Data Poisoning and Model Backdoors - AI model security
Dataset Structure
Split structured (49 entries)
Structured data covering 4 domains:
Split qa (80 entries)
Detailed Q&A covering all topics:
Source Articles
- AI TRiSM: Gartner Framework - The 4 pillars of AI trust, risk, and security management
- Enterprise AI Governance - Complete governance structure (ethics committee, registry, audit)
- Shadow AI - Phenomenon, detection, prevention, and balanced management
- Generative AI ROI - Productivity, cost, quality metrics, and maturity model
- AI and GDPR Compliance - AI-specific GDPR obligations, DPIA, rights
- Data Privacy in LLMs - PII, retention, sovereignty, PET techniques
- Data Poisoning and Model Backdoors - AI model attacks and defenses
Usage
from datasets import load_dataset
# Load the dataset
dataset = load_dataset("AYI-NEDJIMI/ai-governance-en")
# Structured data
structured = dataset["structured"]
print(f"Structured entries: {len(structured)}")
# Q&A
qa = dataset["qa"]
print(f"Q&A entries: {len(qa)}")
# Filter by category
governance = structured.filter(lambda x: x["category"] == "governance_framework")
shadow_ai = structured.filter(lambda x: x["category"] == "shadow_ai")
# Search for a specific question
for item in qa:
if "Shadow AI" in item["question"]:
print(f"Q: {item['question']}")
print(f"A: {item['answer'][:200]}...")
breakRegulatory Alignment
- EU AI Act (European AI Regulation) - Phased entry into force 2024-2027
- GDPR (General Data Protection Regulation) - AI-specific obligations
- CNIL - French recommendations on AI and personal data (2024-2025)
- ISO/IEC 42001 - AI Management System
- NIST AI RMF - AI Risk Management Framework
- NIS2 - Network and Information Security Directive
Useful Links
Regulations & Standards
AYI-NEDJIMI Consultants
Author
- AYI-NEDJIMI Consultants - AI, Cyberdefense & Compliance Consulting Firm
- Expertise: AI Governance, AI Act, GDPR, Shadow AI, AI Model Security
- Contact: ayinedjiconsultants.com/contact
French Version
This dataset is also available in French: AYI-NEDJIMI/ai-governance-fr
License
Apache 2.0 - Free to use with attribution.
Citation
@dataset{ayinedjimi_ai_governance_en_2025,
title={AI Governance - Enterprise Framework (EN)},
author={AYI-NEDJIMI Consultants},
year={2025},
publisher={HuggingFace},
url={https://huggingface.co/datasets/AYI-NEDJIMI/ai-governance-en}
}About the Author
AYI NEDJIMI Consultants - Consulting firm specialized in Artificial Intelligence, Cybersecurity and Digital Transformation.
- Website: ayinedjimi-consultants.fr
- Expertise: Generative AI, RAG, LangChain, Cybersecurity, AI Act Compliance
Free Resources
Discover our free whitepapers on AI and cybersecurity:
Complete Collection
Find all our datasets on HuggingFace: AYI-NEDJIMI
Dataset generated by AYI NEDJIMI Consultants. MIT License.
