When Do Data-Driven Systems Exhibit the Capability to Infer?
Quick Answer
The European AI Act introduces obligations for AI systems, particularly regarding inference capabilities, which remain undefined, creating ambiguity for data-driven systems like credit scoring.
Quick Take
This study proposes a grading framework for inference capability and highlights the need for regulatory clarity, particularly in workflows involving human experts.
Key Points
- The AI Act lacks a clear definition of inference, affecting high-risk AI systems.
- Credit scoring systems are highlighted as ambiguous under the AI Act's guidelines.
- A framework for grading inference capability was developed based on statistical learning theory.
- Human expert involvement significantly influences the inference capability in AI workflows.
- Two realistic credit scoring workflows were analyzed to illustrate inference occurrences.
Paper Resources
Source Excerpt
arXiv:2606. 11769v1 Announce Type: new Abstract: The European AI Act is the first comprehensive regulation of artificial intelligence (AI), setting out extensive obligations, particularly for so-called high-risk and general-purpose AI systems. A key distinguishing feature of AI systems under the AI Act is the capability to infer. Since the AI Act does not clearly define what inference is, there is a gray area for certain data-driven systems.
A specific example is credit scoring systems, which are listed by Annex III of the AI Act. …
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