Big Data, Algorithms and Food Safety: A Legal and Ethical Approach to Data Ownership and Data Governance

Author:   Salvatore Sapienza
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2022
Volume:   52
ISBN:  

9783031093661


Pages:   216
Publication Date:   21 October 2022
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Big Data, Algorithms and Food Safety: A Legal and Ethical Approach to Data Ownership and Data Governance


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Author:   Salvatore Sapienza
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2022
Volume:   52
Weight:   0.518kg
ISBN:  

9783031093661


ISBN 10:   3031093666
Pages:   216
Publication Date:   21 October 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Chapter 1:Food, Big Data, Artificial Intelligence.- Chapter 2:Data Ownership in Food-related Information.- Chapter 3:Food Consumption Data Protection.- Chapter 4:Current and Foreseeable Trends in Food Safety Data Governance.- Chapter 5: The P-SAFETY Model: a Unifying Ethical Approach.- Chapter 6: Conclusion: a Responsible Food Innovation.

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Author Information

Salvatore Sapienza is a Researcher at the Department of Legal Studies of the University of Bologna, where he is affiliated to CIRSFID - ALMA AI. He holds a Ph.D in Law, Science & Technology (LAST-JD) from the University of Bologna and Docteur en droit from the University of Luxembourg. He also holds a Master of Laws (LL.M) in Intellectual Property and Information Law at King's College London. His research interests include data ethics, data ownership, data governance, AI & privacy, legal informatics and legal ontologies.      

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