The EU’s Artificial Intelligence Act has officially entered into force. It aims to bring safety, transparency, and accountability to AI systems—across all levels of risk.
But while the goal is commendable, some parts of the regulation feel less like guardrails and more like tripwires—especially for small developers, startups, and general-purpose AI.
Weaknesses of the AI Act
Overregulation of Small Developers
Even small startups or research teams may fall under the “High Risk” category.
The required conformity checks, audits, and documentation can be prohibitively expensive or complex for many.
Unclear Accountability for GPAI
Who is liable for generative models like GPT-4? The developer? The provider? The user?
The AI Act remains vague—responsibility is passed around without clear technical demarcation.
Slow Implementation & Weak Enforcement
Many regulations won’t apply for another 1–3 years—while AI systems evolve today.
Without well-trained enforcement agencies, much of the Act risks remaining theoretical.
Poor Differentiation Between Contexts
A language model might be harmless (chatbot) or critical (court ruling support).
The Act often fails to distinguish based on application context and instead classifies based on “type of system.”
Bureaucracy vs. Impact
As with GDPR: lots of paperwork, lots of forms—but often leads to “checkbox compliance” rather than real protection or oversight.
2. Criticism with a Dash of Satire
“Congratulations! You’ve just built a neural network that detects cows on Alpine meadows. Please submit your 48-page risk assessment and a sworn statement that it won’t overthrow democracy.”
Scenario: Meet Bureaucratia‑5000
Imagine an AI that can’t code, can’t translate—only regulate.
It’s slow, verbose, and obsessed with PDFs.
Its name: Bureaucratia-5000
Its core function: “Hello. I have analyzed your idea. It is dangerous. Please delete yourself.”
Satirical Points of Critique
“AI is becoming too powerful!” says Brussels. So we regulate it—using 7 oversight bodies, 300 pages of forms, and a full-text search no one understands.
GPAI? No problem. You just need to prove your model doesn’t accidentally manipulate the universe.
Data transparency? Naturally. Please list all 500 billion tokens of your training set—in alphabetical order.
Final Thought from KAI
“AI needs a training model. The EU needs a regulation model. Sadly, theirs was trained on a fax machine.”
Regulating AI is vital. But if we overregulate everything, we might just bureaucratize ourselves out of relevance.
