Ethical AI Governance: Methods for Evaluating Trustworthy AI
Fuente:
arXiv
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866914947768778752 |
|---|---|
| author | McCormack, Louise Bendechache, Malika |
| author_facet | McCormack, Louise Bendechache, Malika |
| contents | Trustworthy Artificial Intelligence (TAI) integrates ethics that align with human values, looking at their influence on AI behaviour and decision-making. Primarily dependent on self-assessment, TAI evaluation aims to ensure ethical standards and safety in AI development and usage. This paper reviews the current TAI evaluation methods in the literature and offers a classification, contributing to understanding self-assessment methods in this field. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_07473 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Ethical AI Governance: Methods for Evaluating Trustworthy AI McCormack, Louise Bendechache, Malika Computers and Society Artificial Intelligence 68T01 (Primary) 68M14 (Secondary) I.2.9; K.4.1 Trustworthy Artificial Intelligence (TAI) integrates ethics that align with human values, looking at their influence on AI behaviour and decision-making. Primarily dependent on self-assessment, TAI evaluation aims to ensure ethical standards and safety in AI development and usage. This paper reviews the current TAI evaluation methods in the literature and offers a classification, contributing to understanding self-assessment methods in this field. |
| title | Ethical AI Governance: Methods for Evaluating Trustworthy AI |
| topic | Computers and Society Artificial Intelligence 68T01 (Primary) 68M14 (Secondary) I.2.9; K.4.1 |
| url | https://arxiv.org/abs/2409.07473 |