> tpl_air_017
Responsible/Acceptable AI Use Policy Builder
Comprehensive corporate acceptable-use policy builder and employee governance framework establishing permissible, restricted, and strictly prohibited AI applications, confidential data ingestion boundaries, open-source/commercial model procurement rules, intellectual property protection, and copyright attribution guidelines.
Corporate policy defining permitted, restricted, and prohibited AI use, data confidentiality rules, and copyright protections.
Important Tech Document Template & Operational Notice
TinyCTO.tv Tech Document Template Notice: This template is a general educational and operational starting point. It is not legal, tax, accounting, investment, procurement, regulatory, security or certification advice. Requirements vary by jurisdiction, organization, contract and risk. Review and adapt it with qualified professionals before relying on it.
Problem Solved
Employees paste confidential source code, trade secrets, customer PII, and unreleased financial earnings into public commercial LLMs, exposing the enterprise to catastrophic intellectual property loss and severe regulatory fines.
When to Use
- •Establishing enterprise-wide employee guidelines for generative AI tools (ChatGPT, Claude, Copilot, Midjourney)
- •Classifying enterprise data classifications permitted for LLM prompting vs strictly forbidden trade secrets and PII
- •Codifying statutory bans on prohibited AI practices under EU AI Act Article 5 (biometrics, social scoring, dark patterns)
When NOT to Use
- •For purely technical model hyperparameter tuning and model evaluation benchmarks (use TPL-AIR-011)
- •For general corporate IT acceptable use policies covering laptop hardware and Wi-Fi networks (use TPL-SEC-002)
5 Template Sections & Structural Outline
Framing corporate philosophy: empowering productivity and innovation while maintaining zero compromise on client confidentiality, customer privacy, and statutory compliance.
Defining clear tiers: Tier A Permitted (ideation, draft summarizing, sanctioned coding assistants), Tier B Restricted (customer-facing drafting requiring human review), and Tier C Prohibited (social scoring, autonomous hiring/firing, unlicensed biometrics).
Enforcing strict input rules: absolute prohibition against inputting un-anonymized customer PII, corporate banking credentials, trade secret algorithms, and M&A documents into non-enterprise tools.
Establishing engineering rules for AI-generated code: automated license scanning (GPL contamination defense), mandatory peer code review, and disclosure of significant algorithmic contributions.
Outlining governance for new AI tool procurement, CASB shadow-AI monitoring on corporate networks, and annual digital signature attestation for all staff.
Completion Instructions
Independent Review Checklist
- All mandatory sections completed
- No secrets or passwords included
- Executive sponsor sign-off obtained
Responsible/Acceptable AI Use Policy Builder - Worked Case Study
Fictional Entity: Global Enterprise Healthcare & Insurance Provider
Real-world production case study demonstrating complete operational adoption for Global Enterprise Healthcare & Insurance Provider.
- •Drafted modular enterprise AI policy deployed across 4,500 corporate employees with 99.4% digital attestation completion
- •Configured CASB controls blocking 18 unvetted public LLMs while provisioning enterprise Azure OpenAI instances with zero data training
- •Established zero-PII ingestion rules preventing patient health data leaks, achieving 100% HIPAA and EU AI Act compliance
Frequently Asked Questions
Why should companies ban free commercial consumer AI tools like public ChatGPT?
Free consumer AI versions typically default to utilizing user prompt inputs and submitted documents to retrain public foundation models. Pasting proprietary source code, confidential financials, or client PII into consumer tiers legally constitutes a public data disclosure and risks exposing trade secrets to competitors.
How does this policy address open-source code copyright and GPL contamination risks?
AI coding assistants are trained on public repositories containing restrictive copyleft licenses (such as GPLv3). If an assistant generates verbatim functions from copyleft code, embedding it into proprietary software can trigger legal claims demanding that the proprietary code be open-sourced. The policy mandates mandatory SCA (Software Composition Analysis) scanning on all AI-assisted pull requests.
What are the statutory prohibited AI practices under EU AI Act Article 5?
Article 5 bans systems deploying subliminal techniques to distort human behavior, exploiting vulnerabilities (age, disability), social scoring based on social behavior, real-time remote biometric identification in public spaces for law enforcement (with narrow exceptions), and untargeted scraping of facial images from the internet or CCTV.
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Authoritative Sources
- EU Artificial Intelligence Act: Article 5 Prohibited AI PracticesEuropean Parliament and Council • OFFICIAL REQUIREMENT
- ISO/IEC 23894:2023 Information technology — Artificial intelligence — Guidance on risk managementInternational Organization for Standardization • OFFICIAL REQUIREMENT
- NIST AI 100-1: Artificial Intelligence Risk Management Framework (AI RMF 1.0)National Institute of Standards and Technology • OFFICIAL REQUIREMENT