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