Securing Artificial Intelligence (SAI); Explicability and transparency of AI processing
ETSI TS 104 224 V1.1.1
| contributor author | ETSI - European Telecommunications Standards Institute | |
| date accessioned | 2025-09-30T23:00:36Z | |
| date available | 2025-09-30T23:00:36Z | |
| date copyright | 2025.03 | |
| date issued | 2025 | |
| identifier other | ts_104224v010101p.pdf | |
| identifier uri | http://yse.yabesh.ir/std;jsessioutho4703177793325273135A68A10958014A0Fa/handle/yse/347736 | |
| language | English | |
| publisher | ETSI - European Telecommunications Standards Institute | |
| title | Securing Artificial Intelligence (SAI); Explicability and transparency of AI processing | en |
| title | ETSI TS 104 224 V1.1.1 | num |
| type | standard | |
| page | 23 | |
| status | Published | |
| tree | ETSI - European Telecommunications Standards Institute:;2025 | |
| contenttype | fulltext | |
| subject keywords | artificial intelligence | |
| 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 support to claims 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 |

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