2021 60th FITCE Communication Days Congress for ICT Professionals: Industrial Data – Cloud, Low Latency and Privacy (FITCE)最新文献

筛选

英文中文

Towards a personal data vault society: an interplay between technological and business perspectives 迈向个人数据宝库社会:技术与商业视角之间的相互作用

2021 60th FITCE Communication Days Congress for ICT Professionals: Industrial Data – Cloud, Low Latency and Privacy (FITCE) Pub Date : 2021-09-29 DOI: 10.1109/fitce53297.2021.9588540

S. Verbrugge, F. Vannieuwenborg, Marlies Van der Wee, D. Colle, Ruben Taelman, R. Verborgh

引用次数: 3

Making the Cloud Secure: Cirrus or Cumulonimbus? 让云更安全:卷云还是积雨云?

2021 60th FITCE Communication Days Congress for ICT Professionals: Industrial Data – Cloud, Low Latency and Privacy (FITCE) Pub Date : 2021-09-29 DOI: 10.1109/fitce53297.2021.9588515

E. Smith, M. Ugolini

引用次数: 0

The European way of doing Artificial Intelligence: The state of play implementing Trustworthy AI 欧洲人做人工智能的方式:实现可信赖人工智能的状态

2021 60th FITCE Communication Days Congress for ICT Professionals: Industrial Data – Cloud, Low Latency and Privacy (FITCE) Pub Date : 2021-09-29 DOI: 10.1109/fitce53297.2021.9588560

Bern Beckert

{"title":"The European way of doing Artificial Intelligence: The state of play implementing Trustworthy AI","authors":"Bern Beckert","doi":"10.1109/fitce53297.2021.9588560","DOIUrl":"https://doi.org/10.1109/fitce53297.2021.9588560","url":null,"abstract":"“Trustworthy AI” is the concept of the European Commission to facilitate acceptance and diffusion of Artificial Intelligence in Europe. The concept claims that European AI applications shall be lawful, ethical and robust, both from a technical and societal perspective. The contribution asks for the state of play of implementing the concept of Trustworthy AI. More concretely, it sets out to identify concrete cases of implementing Trustworthy AI in order to analyse approaches and experiences. However, it turns out that such projects currently only exist in a research context and at neither large companies nor start-ups or medium-sized companies provide suitable examples, with only a few exceptions. This gives rise to the question, why companies today ignore or even avoid the carefully worked out guidelines to implement Trustworthy AI. Three answers are given which refer to time-to-market considerations, different mindsets of software engineers and social scientists, and the fact that implementing Trustworthy AI requires of firms to go the extra mile with additional expertise and governance structures. Following this, two possibilities are presented to increase in the number of companies actually picking up on the guidelines and concretely implementing Trustworthy AI. These possibilities are firstly to break down existing implementation guidelines to the requirements of software engineers, computer scientists and managers, and secondly to embed social scientists and stakeholders in the implementation process.","PeriodicalId":205216,"journal":{"name":"2021 60th FITCE Communication Days Congress for ICT Professionals: Industrial Data – Cloud, Low Latency and Privacy (FITCE)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114749281","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1