If none of the criteria in this framework are met, the AI/ML-enabled genomics application does not require the precautionary principle, and instead, will undergo standard risk assessment. A more precautionary approach is only warranted when there is significant uncertainty. This illustrates that the precautionary principle does not outright dismiss science, technology, or risk assessment; rather, it encourages a thoughtful evaluation and approach to the integration of genomics and AI/ML, depending on varying levels of scientific and technological understanding.
Paraphrase:
When none of the criteria in this framework is triggered, the AI/MLenabled genomics application in question does not need the application
of the precautionary principle, in which event the case will be subject to
conventional risk assessment. Only when uncertainty is prevalent will it justify the initiation of a more precautionary approach. This hopefully
shows how the precautionary principle does not present a blanket
rejection of science, technology or even risk assessment, but rather
triggers a careful consideration, measuring and approach towards the
combination of genomics and AI/ML at different states of scientific and
technological knowledge.
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