{"title":"Advancing AI Audits for Enhanced AI Governance","authors":"Arisa Ema, Ryo Sato, Tomoharu Hase, Masafumi Nakano, Shinji Kamimura, Hiromu Kitamura","doi":"arxiv-2312.00044","DOIUrl":null,"url":null,"abstract":"As artificial intelligence (AI) is integrated into various services and\nsystems in society, many companies and organizations have proposed AI\nprinciples, policies, and made the related commitments. Conversely, some have\nproposed the need for independent audits, arguing that the voluntary principles\nadopted by the developers and providers of AI services and systems\ninsufficiently address risk. This policy recommendation summarizes the issues\nrelated to the auditing of AI services and systems and presents three\nrecommendations for promoting AI auditing that contribute to sound AI\ngovernance. Recommendation1.Development of institutional design for AI audits.\nRecommendation2.Training human resources for AI audits. Recommendation3.\nUpdating AI audits in accordance with technological progress. In this policy recommendation, AI is assumed to be that which recognizes and\npredicts data with the last chapter outlining how generative AI should be\naudited.","PeriodicalId":501487,"journal":{"name":"arXiv - QuantFin - Economics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - QuantFin - Economics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2312.00044","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
As artificial intelligence (AI) is integrated into various services and
systems in society, many companies and organizations have proposed AI
principles, policies, and made the related commitments. Conversely, some have
proposed the need for independent audits, arguing that the voluntary principles
adopted by the developers and providers of AI services and systems
insufficiently address risk. This policy recommendation summarizes the issues
related to the auditing of AI services and systems and presents three
recommendations for promoting AI auditing that contribute to sound AI
governance. Recommendation1.Development of institutional design for AI audits.
Recommendation2.Training human resources for AI audits. Recommendation3.
Updating AI audits in accordance with technological progress. In this policy recommendation, AI is assumed to be that which recognizes and
predicts data with the last chapter outlining how generative AI should be
audited.