Securing Artificial Intelligence (SAI) – Explicability and transparency of AI processing

Scope

The intent of this work item is to extend from the published work of SAI to address the issues of design of AI platforms (data, algorithms, frameworks) that are able to give assurance of explainability and transparency of decisions. This is intended in part to also consider the impact of issues arising from regulation of AI to address ethics and misuse and to allow independent determination of bias (a light touch). The report will address both intrinsic and post-hoc analysis of AI systems. © Copyright 2024, ETSI

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