توضیحاتی در مورد کتاب Data Protection and Privacy: The Age of Intelligent Machines
نام کتاب : Data Protection and Privacy: The Age of Intelligent Machines
عنوان ترجمه شده به فارسی : حفاظت از داده ها و حریم خصوصی: عصر ماشین های هوشمند
سری : Computers, Privacy and Data Protection
نویسندگان : Ronald Leenes, Rosamunde van Brakel, Serge Gutwirth, Paul De Hert (editors)
ناشر : Hart Publishing
سال نشر : 2017
تعداد صفحات : 255
ISBN (شابک) : 9781509919345 , 9781509919352
زبان کتاب : English
فرمت کتاب : pdf
حجم کتاب : 4 مگابایت
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فهرست مطالب :
Preface\nContents\nList of Contributors\n1. EU Data Protection and \'Treaty-base Games\': When Fundamental Rights are Wearing Market-making Clothes\n I. Introduction\n II. Rational Choice and Historical Institutionalism\n III. The CJEU: Filling the Gap, but Why and How Far? Tracing Strategic Interests of the Constitutional Court\n IV. The Charter—A Victim of Domestic Politics?\n V. Directive 95/46/EC, GDPR, and the Market Imprint\n VI. Conclusions\n References\n2. The \'Risk Revolution\' in EU Data Protection Law: We can\'t Have Our Cake and Eat it, Too\n I. Introduction\n II. The Role of \'Risk\' in the Risk-Based Approach\n III. \'Risk\'\rand the Legal Obligations in the GDPR\n IV. Were the Data Protection Principles and the Data Subject Rights Risk-Based to Start With?\n V. Conclusion\n References\n3. No Privacy without Transparency\n I. Introduction\n II. Describing the Harms from Loss of Privacy\n III. How Does Data Protection Protect against Insecure and Imprecise Use of Data?\n IV. Measuring the Benefits and Risks of Data-driven Automated Decision-making (Surveillance)\n V. How Might Regulators Ensure Reliable Information about the Impact of Surveillance Systems be Generated?\n VI. Conclusion\n References\n4.\rMachine Learning with Personal Data\n I. Introduction\n II. Lawfulness\n III. Fairness\n IV. Transparency\n V. Conclusions\n References\n5. Bridging Policy, Regulation and Practice? A Techno-Legal Analysis of Three Types of Data in the GDPR\n I. Introduction\n II. The Three Types of Data\n III. A Risk-based Analysis of the Three Types of Data\n IV. Data Sanitisation Techniques and Contextual Controls\n V. Conclusion\n References\n6. Are We Prepared for the 4th Industrial Revolution? Data Protection and Data Security Challenges of Industry 4.0 in the EU Context\n I. Introduction\n II. Defining IND 4.0—The Regulatory Use and Key Features of a Sui Generis Concept\n III. Data Protection Challenges of IND 4.0 and the EU Legal Context\n IV. Data Security Challenges of IND 4.0 and the EU Legal Context\n V. Conclusion\n References\n7. Reasonable Expectations of Data Protection in Telerehabilitation—A Legal and Anthropological Perspective on Intelligent Orthoses\n I. Introduction\n II. The Legal Angle: Reasonable Expectations and Privacy by Design\n III. The Anthropological Angle: Reasonable Expectations of Minors in Brace Therapy\n IV. Conclusion\n References\n8. Considering the Privacy Design Issues Arising from Conversation as Platform\n I. Introduction\n II. Conversation as Platform\n III. The Privacy Impact of Sensed Conversation; A Focus on Child-Facing Technology\n IV. The Problem of Intelligent Systems\n V. Conclusions and Recommendations\n References\n9. Concluding Remarks at the 10th Computers, Privacy and Data Protection Conference: 27 January 2017\nIndex