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派博传思国际中心 »期刊书目

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Titlebook: Big Data, Algorithms and Food Safety; A Legal and Ethical Salvatore Sapienza Book 2022 The Editor(s) (if applicable) and The Author(s), un

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发表于 2025-3-21 20:04:35 | 显示全部楼层 |阅读模式
期刊全称Big Data, Algorithms and Food Safety
期刊简称A Legal and Ethical
影响因子2023Salvatore Sapienza
视频video
发行地址Provides an innovative research on Food Safety, Big Data and Machine Learning.Offers an interdisciplinary approach to data ownership and data governance to Food Safety.Provides legal and ethical refle
学科分类Law, Governance and Technology Series
图书封面Titlebook: Big Data, Algorithms and Food Safety; A Legal and Ethical Salvatore Sapienza Book 2022 The Editor(s) (if applicable) and The Author(s), un
影响因子This book identifies the principles that should be applied when processing Big Data in the context of food safety risk assessments. Food safety is a critical goal in the protection of individuals’ right to health and the flourishing of the food and feed market. Big Data is fostering new applications capable of enhancing the accuracy of food safety risk assessments. An extraordinary amount of information is analysed to detect the existence or predict the likelihood of future risks, also by means of machine learning algorithms. Big Data and novel analysis techniques are topics of growing interest for food safety agencies, including the European Food Safety Authority (EFSA). This wealth of information brings with it both opportunities and risks concerning the extraction of meaningful inferences from data. However, conflicting interests and tensions among the parties involved are hindering efforts to find shared methods for steering the processing of Big Data in a sound, transparent and trustworthy way. While consumers call for more transparency, food business operators tend to be reluctant to share informational assets. This has resulted in a considerable lack of trust in the EU food
Pindex Book 2022
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The exponential map of a lie group,al concepts of ownership under different perspectives—legal, technical, ethical—and contextualises it to the domain under discussion. New interpretative proposals, based on a new concept of data ownership drawn from the current debate, are then made, together with some possible concrete implementations
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https://doi.org/10.1007/978-3-030-05393-2scussion contributes to the ongoing debate on certain aspects of data processing, including legal categories and group privacy. The chapter suggests that governance solutions are needed to be adopted, in order to minimize the risks to fundamental rights and freedoms due to its processing.
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发表于 2025-3-22 10:02:59 | 显示全部楼层
Data Ownership in Food-Related Information,al concepts of ownership under different perspectives—legal, technical, ethical—and contextualises it to the domain under discussion. New interpretative proposals, based on a new concept of data ownership drawn from the current debate, are then made, together with some possible concrete implementations
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Food Consumption Data Protection,scussion contributes to the ongoing debate on certain aspects of data processing, including legal categories and group privacy. The chapter suggests that governance solutions are needed to be adopted, in order to minimize the risks to fundamental rights and freedoms due to its processing.
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Current Trends, Machine Learning, and Food Safety Data Governance,ms in food safety risk assessment from an ethical and legal point of view. A closer look to the forthcoming EU Data Governance Act provides insights on the use of such computational approaches in the public decison-making and, in particular, in matters related to food safety.
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