关于全球人工智能审计框架的建议 标准与特点概述

The document outlines a global framework for AI auditing developed by the International Panel on the Information Environment (IPIE). It argues that current auditing practices lack independence and fail to account for global inequalities, particularly regarding human rights and environmental degradation. The proposed framework consists of seven key characteristics: audit scope, auditor roles, stakeholder engagement, context-adapted standards, evidence requirements, auditing methods, and post-audit activities. It emphasizes the need for transparent, multi-stakeholder driven audits that can identify systemic harms such as bias and labor exploitation.

• The IPIE proposes a global AI auditing framework characterized by seven core elements: audit scope, auditor roles, stakeholder engagement mechanisms, audit standards adapted to the environment, evidence requirements, auditing methods, and comprehensive post-audit activities.
• Effective AI auditing standards must be precise and context-specific, covering diverse areas such as data privacy, indigenous and collective data sovereignty, fair labor practices (including protection from algorithmic management), and environmental impacts like greenhouse gas emissions and electronic waste.

APA

International Panel on the Information Environment (2024). 关于全球人工智能审计框架的建议 标准与特点概述. https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/67abd2b5b2f58373e2750687_ZH.pdf

Chicago

International Panel on the Information Environment. 关于全球人工智能审计框架的建议 标准与特点概述. 2024. https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/67abd2b5b2f58373e2750687_ZH.pdf.

Wikipedia

{{cite report |author=International Panel on the Information Environment |title=关于全球人工智能审计框架的建议 标准与特点概述 |date=2024 |url=https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/67abd2b5b2f58373e2750687_ZH.pdf |access-date=23 October 2026 |via=Climate Insights Directory}}

BibTeX

@techreport{internationalpanelontheinformationenvironment2024, author = {{International Panel on the Information Environment}}, title = {{关于全球人工智能审计框架的建议 标准与特点概述}}, institution = {International Panel on the Information Environment}, year = {2024}, url = {https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/67abd2b5b2f58373e2750687_ZH.pdf}, urldate = {2026-10-23}, note = {Indexed by Climate Insights Directory} }