AI Regulations Explained: Rules for Using AI

AI doesn’t operate in a legal vacuum. There are usage policies from the companies that build these models, emerging government regulations, and industry frameworks that define what’s acceptable. Understanding these rules protects you and your organization.

Vendor Usage Policies

Every major AI provider publishes a usage policy — the rules for what you can and can’t do with their models. These typically prohibit:

• Generating content that exploits or harms minors
• Creating disinformation campaigns or election interference
• Using AI for surveillance, tracking, or targeting individuals
• Providing unqualified advice in regulated domains without safeguards
• Building weapons or facilitating clearly illegal activities

Violating these policies can result in account suspension or legal liability. They’re not suggestions — they’re contractual terms.

The NIST AI Risk Management Framework

NIST’s AI RMF provides a vendor-neutral governance structure organized into four functions:

Govern  → Policies, accountability, risk culture
Map     → Identify context, intended use, and risks
Measure → Assess trustworthiness, test for bias and safety
Manage  → Treat risks, monitor, and respond to issues

The framework is voluntary but widely adopted. It defines seven characteristics of trustworthy AI: valid and reliable, safe, secure and resilient, accountable and transparent, explainable and interpretable, privacy-enhanced, and fair with harmful bias managed.

The EU AI Act

The EU AI Act, enforced since August 2025, is the first comprehensive AI regulation. It classifies AI systems into risk tiers:

• Unacceptable risk (banned) — social scoring, real-time biometric surveillance in public spaces
• High risk (strict requirements) — AI in hiring, credit scoring, law enforcement, healthcare
• Limited risk (transparency required) — chatbots must disclose they’re AI
• Minimal risk (largely unregulated) — spam filters, AI in games

High-risk systems face requirements around transparency, bias detection, human oversight, and documentation. Penalties can reach millions of euros.

Reading a Usage Policy

When you start using any AI tool, check three things: what’s prohibited (hard boundaries), what’s high-risk (extra safeguards required), and how your data is handled (training usage, retention, opt-out).

Rules set the boundaries, but responsible AI use goes beyond compliance. In the final snack, you’ll learn how to build personal and team-level guardrails that make good AI practices second nature.