Pub Date : 2021-09-29DOI: 10.1109/fitce53297.2021.9588540
S. Verbrugge, F. Vannieuwenborg, Marlies Van der Wee, D. Colle, Ruben Taelman, R. Verborgh
The Web is evolving more and more to a small set of walled gardens where a very small number of platforms determine the way that people get access to the Web (i.e. “log in via Facebook”). As a pushback against this ongoing centralization of data and services on the Web, decentralization efforts are taking place that move data into personal data vaults. This positioning paper discusses a potential personal data vault society and the required research steps in order to get there. Emphasis is given on the needed interplay between technological and business research perspectives. The focus is on the situation of Flanders, based on a recent announcement of the Flemish government to set up a Data Utility Company. The concepts as well as the suggested path for adoption can easily be extended, however, to other situations/regions as well.
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Pub Date : 2021-09-29DOI: 10.1109/fitce53297.2021.9588515
E. Smith, M. Ugolini
We build on our experience of the commercial Information and Communications Technology (ICT) environment, market data from respected organisations and the technical literature; to examine how the sophistication offered by the cloud impacts approaches to defending information from attack by malignant actors. The cloud provides a networked and distributed approach to computing, using commercial models that are congruent with the outsourced principle of more efficient use of technology resources. The model however creates more complexity and more interfaces, which will in turn impact the approach needed to protect facilities against attack.
{"title":"Making the Cloud Secure: Cirrus or Cumulonimbus?","authors":"E. Smith, M. Ugolini","doi":"10.1109/fitce53297.2021.9588515","DOIUrl":"https://doi.org/10.1109/fitce53297.2021.9588515","url":null,"abstract":"We build on our experience of the commercial Information and Communications Technology (ICT) environment, market data from respected organisations and the technical literature; to examine how the sophistication offered by the cloud impacts approaches to defending information from attack by malignant actors. The cloud provides a networked and distributed approach to computing, using commercial models that are congruent with the outsourced principle of more efficient use of technology resources. The model however creates more complexity and more interfaces, which will in turn impact the approach needed to protect facilities against attack.","PeriodicalId":205216,"journal":{"name":"2021 60th FITCE Communication Days Congress for ICT Professionals: Industrial Data – Cloud, Low Latency and Privacy (FITCE)","volume":"121 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":"129751836","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}
Pub Date : 2021-09-29DOI: 10.1109/fitce53297.2021.9588560
Bern Beckert
“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.
{"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}
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