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This is a research prototype. The data and analyses are preliminary and not yet validated — we'd welcome your .

Fine-tuning related (Ease of reconfiguring GPAI models)

Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems

Gipiškis et al. (2024)

Sub-category

"GPAI models are often easily reconfigured for various use cases or have competencies beyond the intended use [78, 225]. They can be performed either by changing the weights of the model (e.g., fine-tuning) or by modifying only the model inputs (e.g., prompt engineering, jailbreaking, retrieval-augmented generation). Reconfiguration can be intentional (with the help of adversarial inputs) or unintentional (from unanticipated inputs to the model)."(p. 14)

Other risks from Gipiškis et al. (2024) (144)