Defining AI accuracy for EU law means choosing which errors are okay
What happened
A new paper says that measuring AI accuracy is not a technical problem, but a series of choices. This means regulators and developers implementing the EU AI Act must decide which errors are acceptable and who bears the risk when AI systems fail.
Why it matters
The EU AI Act requires high-risk AI systems to meet an 'appropriate level of accuracy.' This paper shows that defining 'appropriate' is not a technical calculation, but a series of decisions about acceptable errors and who bears the cost. This means the technical standards for AI accuracy will embed political and ethical choices, not just engineering ones.
The signal
Watch for the specific technical standards and guidelines that emerge from the EU AI Act, and see what error rates or trade-offs they implicitly accept for different high-risk AI applications.