Резюме для политиков 2024.2 Рекомендации по созданию глобальной системы аудита ИИ

The International Panel on the Information Environment (IPIE) recommends a comprehensive global AI auditing system to address the risks of bias, inequality, and environmental harm. The proposed framework emphasizes the need for independent auditors, transparent results, and a context-sensitive approach that includes diverse stakeholders and considers global impacts, particularly on marginalized communities.

• Current AI auditing practices are fragmented and often fail to account for global impacts, as most audits are conducted in Europe and North America, potentially overlooking human rights violations, labor exploitation, and environmental degradation in other regions.
• An effective global AI auditing system must be built on five core pillars: common standards and procedures, auditor independence and qualification, access to evidence, transparency of results, and the assessment of disparate global impacts.
• The proposed framework identifies seven key features for AI audits: audit scope, the role of the auditor, stakeholder engagement mechanisms, context-appropriate audit criteria, evidence requirements, audit methodologies, and comprehensive post-audit activities.
• Audit criteria must be multidisciplinary, covering technical performance (accuracy, reliability, safety), data ethics (privacy, indigenous data sovereignty), labor practices (fair compensation, protection from algorithmic management), and environmental impact (energy and water consumption, greenhouse gas emissions, and e-waste).
• To ensure validity, auditors should not rely solely on developer documentation but must perform performance tests, conduct interviews, and use broad participation methods to evaluate how people interact with AI in daily life.
• Post-audit transparency is critical; results should be published in accessible media, peer-reviewed journals, or public repositories to allow stakeholders to hold developers accountable and to inform regulatory or legal systems.

APA

International Panel on the Information Environment (2024). Резюме для политиков 2024.2 Рекомендации по созданию глобальной системы аудита ИИ. https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/67abd27a1ae73ec3a67007ca_RU.pdf

Chicago

International Panel on the Information Environment. Резюме для политиков 2024.2 Рекомендации по созданию глобальной системы аудита ИИ. 2024. https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/67abd27a1ae73ec3a67007ca_RU.pdf.

Wikipedia

{{cite report |author=International Panel on the Information Environment |title=Резюме для политиков 2024.2 Рекомендации по созданию глобальной системы аудита ИИ |date=2024 |url=https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/67abd27a1ae73ec3a67007ca_RU.pdf |access-date=23 October 2026 |via=Climate Insights Directory}}

BibTeX

@techreport{internationalpanelontheinformationenvironment202420242, author = {{International Panel on the Information Environment}}, title = {{Резюме для политиков 2024.2 Рекомендации по созданию глобальной системы аудита ИИ}}, institution = {International Panel on the Information Environment}, year = {2024}, url = {https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/67abd27a1ae73ec3a67007ca_RU.pdf}, urldate = {2026-10-23}, note = {Indexed by Climate Insights Directory} }