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EU AI Act: What You Need to Know

  • Writer: Sahaj Vaidya
    Sahaj Vaidya
  • Oct 2
  • 2 min read

Updated: Oct 6

The EU AI Act is the world’s first comprehensive artificial intelligence law — and it sets the global standard for AI regulation and compliance. Unlike frameworks that encourage innovation first, the EU Act is focused on risk-based guardrails to protect people, businesses, and society.


Illustration of AI regulation in Europe showing a balance scale with AI symbol on one side and justice symbols on the other, set against the EU flag with digital network background.
Balancing innovation and regulation: The EU AI Act sets global standards for responsible AI.

Who Does It Apply To?

  • Any organization placing AI on the EU market — even if you’re based outside the EU.

  • This includes developers, deployers, importers, and distributors.

  • A U.S. or Indian company selling or offering AI services in Europe must comply just as much as an EU company.


Core Principle: Risk-Based Regulation

The EU AI Act takes a risk-tiered approach: the higher the risk, the stricter the requirements.


The Four AI Risk Tiers

Unacceptable Risk (Banned AI Systems)

Practices that exploit or endanger people are prohibited. Examples include:

  • Social scoring

  • Predictive policing

  • Manipulative AI targeting children


High Risk (Strict Compliance Required)

The largest category under the EU AI Act. These systems must follow detailed compliance rules. Examples:

  • Recruitment and hiring tools

  • AI in education and exams

  • Financial services and credit scoring

  • Healthcare and medical devices

  • AI used in public services


Limited Risk (Transparency Obligations)

AI applications that require users to know they are interacting with AI. Examples:

  • Chatbots that must disclose they’re AI

  • Deepfakes and synthetic content that must be labeled


Minimal Risk (No Additional Rules)

Everyday AI tools not seen as risky. Examples:

  • Spam filters

  • AI in video games


Core Requirements for High-Risk AI Systems

Organizations deploying high-risk AI must demonstrate compliance across several areas:

  • Risk Management System → Identify, test, and mitigate risks before deployment.

  • High-Quality Data → Training datasets must be relevant, representative, and bias-tested.

  • Documentation & Traceability → Maintain technical files and record-keeping for audits.

  • Human Oversight → Define clear roles where humans can intervene or override AI decisions.

  • Accuracy, Robustness & Cybersecurity → Ensure continuous monitoring, resilience, and post-market reporting.


Special Categories Under the EU AI Act

  • General-Purpose AI (GPAI) → Large foundation models face separate transparency and systemic risk requirements.

  • AI in the Public Sector → Stricter rules apply when AI impacts rights, justice, or democratic processes.


EU AI Act Compliance Timeline

  • 2024 → Banned AI practices already in effect

  • 2025 → General rules for GPAI begin phasing in

  • 2026–2027 → High-risk AI obligations fully enforceable


Why the EU AI Act Matters

  • Startups & SMEs → Must classify AI products early; non-compliance means losing EU market access.

  • Enterprises → Required to build AI inventories, conduct vendor audits, and document risk management.

  • Investors & Clients → Increasingly demand AI compliance evidence as part of due diligence.


Bottom line: If your AI system impacts jobs, healthcare, safety, or human rights, the EU AI Act likely classifies it as high-risk. Preparing now means smoother compliance, reduced risk, and continued access to the EU market.


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