An Early-Stage Workflow Proposal for the Generation of Safe and Dependable AI Classifiers
<|reference_start|>An Early-Stage Workflow Proposal for the Generation of Safe and Dependable AI Classifiers: The generation and execution of qualifiable safe and dependable AI models, necessitates definition of a transparent, complete yet adaptable and preferably lightweight workflow. Given the rapidly progressing domain of AI research and the relative immaturity of the safe-AI domain the process stability upon which functionally safety developments rest must be married with some degree of adaptability. This early-stage work proposes such a workflow basing it on a an extended ONNX model description. A use case provides one foundations of this body of work which we expect to be extended by other, third party use-cases.<|reference_end|>
@article{doran2024an,
    title={An Early-Stage Workflow Proposal for the Generation of Safe and
  Dependable AI Classifiers},
    author={Hans Dermot Doran, Suzana Veljanovska},
    journal={arXiv preprint arXiv:2410.01850},
    year={2024},
    archivePrefix={arXiv},
    eprint={2410.01850},
    primaryClass={cs.LG}
}