Big Data, Algorithms and Food Safety : A Legal and Ethical Approach to Data Ownership and Data Governance
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...
Spremljeno u:
| Glavni autor: | |
|---|---|
| Format: | Livre numérique |
| Jezik: | Anglais |
| Izdano: |
Cham :
Springer International Publishing
2022.
Cham : Springer Nature |
| Serija: | Law, Governance and Technology Series
52 |
| Online pristup: | Accès sur la plateforme Springer Accès sur la plateforme ISTEX Accès Université d'Orléans |
| Bilješka: |
Springer e-books droit et criminologie (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Big Data, Algorithms and Food Safety, Texte imprimé, 9783031093661 • Big Data, Algorithms and Food Safety, Texte imprimé, 9783031093685 • Big Data, Algorithms and Food Safety, Texte imprimé, 9783031093692 |
Sadržaj:
- 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.