当前位置:首页 >英文主页 >中英对照 > 中译版报告详情

爱立信:2023年可信AI白皮书-对电信业的影响(中译版)(20页).pdf

上传人: 白**** 编号:135339 2023-08-04 20页 688.57KB

下载:

1、Ericsson White PaperGFTL-23:000757 UenJune 2023Trustworthy AI-What it means for telecomTrustworthy AI-What it means for telecomContentJune 20232ContentIntroduction 3Human Agency and Oversight 4Transparency 5Privacy and Data Governance 8Diversity,Non-discrimination and Fairness 9Technical Robustness

2、and Safety 11Social and Environmental Well Being 13Conclusion 15Glossary 16References 18Authors 19Trustworthy AI-What it means for telecomIntroductionJune 20233IntroductionBillions of people have come to trust and depend on modern telecom systems to support their needs and quality of life.As these s

3、ystems adopt new technologies,its important trust is maintained by understanding and addressing any new risks.Artificial intelligence(AI)differs from traditional software in its construction and operation and may introduce new and varied risks,calling for new countermeasures and guardrails.For examp

4、le,the large amount of data used for AI training raises the possibility of privacy risks.Development procedures must ensure that AI models learn what is intended.The model operation should be thoroughly understood,for example,using explainability techniques.In short,to maintain the trustworthiness o

5、f the overall system,AI must itself be trustworthy:meaning,it should operate as intended and do no harm physically or ethically.Governments,companies,and standards bodies around the world are taking notice of these facts and creating requirements regarding the trustworthiness of AI systems.The upcom

6、ing European Union AI Act 1 is one such effort.It follows principles written by the European Commission High-Level Expert Group in their“Ethics Guidelines for Trustworthy AI”2.Ericsson has adopted these guidelines.The framework breaks trustworthiness into seven specific areas.This paper explores how

word格式文档无特别注明外均可编辑修改,预览文件经过压缩,下载原文更清晰!
三个皮匠报告文库所有资源均是客户上传分享,仅供网友学习交流,未经上传用户书面授权,请勿作商用。
本文主要讨论了人工智能(AI)在电信系统中的可信度问题,并提出了七个具体领域来确保AI系统的可信度。这七个领域包括:人类代理和监督、透明度、隐私和数据治理、多样性、非歧视和公平性、技术稳健性和安全性、社会和环境福祉。 文章指出,AI系统在电信系统中应用时,必须确保其操作符合预期,不会对人类造成身体或伦理上的伤害。为了实现这一点,AI系统需要具备透明度,即能够解释其决策过程,并确保其操作符合隐私和数据治理的要求。 此外,文章还强调了AI系统在处理数据时需要考虑多样性、非歧视和公平性,以及技术稳健性和安全性。例如,在训练自然语言处理系统时,需要考虑不同的说话风格、成语和教育水平,以确保系统能够为所有人提供平等的服务。 总的来说,文章强调了在电信系统中应用AI时,需要从多个方面考虑其可信度,以确保系统的安全、可靠和公平。
如何在AI系统中实现透明度? 如何在AI系统中保护隐私? 如何确保AI系统的公平性和无歧视?
客服
商务合作
小程序
服务号
折叠