Research map / Large language models / AI and society
Position: If Innovation in AI systematically Violates Fundamental Rights, Is It Innovation at All?
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Position paper arguing that regulation is a foundation of responsible AI innovation, using historical analogies and the EU AI Act's sandboxes, SME support, real-world testing, and FRIA as evidence.
Problem
The belief that regulation and innovation are opposites leads to deregulated AI that causes harms such as synthetic misinformation, bias, and unaccountable decision-making, and the Collingridge Dilemma makes late regulation ineffective.
Approach
Reframes innovation as inherently responsible innovation and presents the EU AI Act's adaptive mechanisms (sandboxes, SME support, real-world testing, FRIA, transparency, accountability, AI literacy) as enablers rather than brakes on AI progress.
Key results
- Argues the EU AI Act's sandboxes (Art. 57), real-world testing (Art. 60), and SME support (Art. 62-63) convert perceived regulatory burdens into advantages, summarized in a burdens-vs-benefits table.
- Cites the aviation fatal-accident odds dropping from 1 in 25,000 departures in 1959 to 1 in 29 million, and the thalidomide and SyRI cases, as evidence that regulation enables progress.
- Notes that 57 countries operate 73 fintech sandboxes and that Spain launched a national AI sandbox for high-risk systems.
Limitations
- No empirical evaluation; argument rests on historical analogies and policy text analysis.
- Alternative views are addressed mostly by rebuttal rather than systematic engagement with evidence.
- Some claims about the EU AI Act are described as proposed or illustrated by cases rather than measured outcomes.
Experimental setup
Builds on: Collingridge Dilemma Porter hypothesis EU AI Act
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