Data Profiling and Insurance Law
Title | Data Profiling and Insurance Law PDF eBook |
Author | Brendan McGurk |
Publisher | Bloomsbury Publishing |
Pages | 312 |
Release | 2019-03-21 |
Genre | Law |
ISBN | 1509920625 |
The winner of the 2020 British Insurance Law Association Book Prize, this timely, expertly written book looks at the legal impact that the use of 'Big Data' will have on the provision – and substantive law – of insurance. Insurance companies are set to become some of the biggest consumers of big data which will enable them to profile prospective individual insureds at an increasingly granular level. More particularly, the book explores how: (i) insurers gain access to information relevant to assessing risk and/or the pricing of premiums; (ii) the impact which that increased information will have on substantive insurance law (and in particular duties of good faith disclosure and fair presentation of risk); and (iii) the impact that insurers' new knowledge may have on individual and group access to insurance. This raises several consequential legal questions: (i) To what extent is the use of big data analytics to profile risk compatible (at least in the EU) with the General Data Protection Regulation? (ii) Does insurers' ability to parse vast quantities of individual data about insureds invert the information asymmetry that has historically existed between insured and insurer such as to breathe life into insurers' duty of good faith disclosure? And (iii) by what means might legal challenges be brought against insurers both in relation to the use of big data and the consequences it may have on access to cover? Written by a leading expert in the field, this book will both stimulate further debate and operate as a reference text for academics and practitioners who are faced with emerging legal problems arising from the increasing opportunities that big data offers to the insurance industry.
Data Profiling and Insurance Law
Title | Data Profiling and Insurance Law PDF eBook |
Author | Brendan McGurk |
Publisher | |
Pages | 280 |
Release | 2019 |
Genre | |
ISBN | 9781509920648 |
"This timely, expertly written monograph looks at the legal impact that the use of 'Big Data' will have on the provision - and substantive law - of insurance. Insurance companies are set to become some of the biggest consumers of big data which will enable them to profile prospective individual insureds at an increasingly granular level. More particularly, the book explores how: (i) insurers gain access to information relevant to assessing risk and/or the pricing of premiums; (ii) the impact which that increased information will have on substantive insurance law (and in particular duties of good faith disclosure and fair presentation of risk); and (iii) the impact that insurers' new knowledge may have on individual and group access to insurance. This raises several consequential legal questions: (i) To what extent is the use of big data analytics to profile risk compatible (at least in the EU) with the General Data Protection Regulation? (ii) Does insurers' ability to parse vast quantities of individual data about insureds invert the information asymmetry that has historically existed between insured and insurer such as to breathe life into insurers' duty of good faith disclosure? And (iii) by what means might legal challenges be brought against insurers both in relation to the use of big data and the consequences it may have on access to cover? Written by a leading expert in the field, this book will both stimulate further debate and operate as a reference text for academics and practitioners who are faced with emerging legal problems arising from the increasing opportunities that big data offers to the insurance industry"--Bloomsbury Publishing.
Data Profiling and Insurance Law
Title | Data Profiling and Insurance Law PDF eBook |
Author | Brendan McGurk |
Publisher | Bloomsbury Publishing |
Pages | 306 |
Release | 2019-03-21 |
Genre | Law |
ISBN | 1509920633 |
The winner of the 2020 British Insurance Law Association Book Prize, this timely, expertly written book looks at the legal impact that the use of 'Big Data' will have on the provision – and substantive law – of insurance. Insurance companies are set to become some of the biggest consumers of big data which will enable them to profile prospective individual insureds at an increasingly granular level. More particularly, the book explores how: (i) insurers gain access to information relevant to assessing risk and/or the pricing of premiums; (ii) the impact which that increased information will have on substantive insurance law (and in particular duties of good faith disclosure and fair presentation of risk); and (iii) the impact that insurers' new knowledge may have on individual and group access to insurance. This raises several consequential legal questions: (i) To what extent is the use of big data analytics to profile risk compatible (at least in the EU) with the General Data Protection Regulation? (ii) Does insurers' ability to parse vast quantities of individual data about insureds invert the information asymmetry that has historically existed between insured and insurer such as to breathe life into insurers' duty of good faith disclosure? And (iii) by what means might legal challenges be brought against insurers both in relation to the use of big data and the consequences it may have on access to cover? Written by a leading expert in the field, this book will both stimulate further debate and operate as a reference text for academics and practitioners who are faced with emerging legal problems arising from the increasing opportunities that big data offers to the insurance industry.
Discrimination and Privacy in the Information Society
Title | Discrimination and Privacy in the Information Society PDF eBook |
Author | Bart Custers |
Publisher | Springer Science & Business Media |
Pages | 370 |
Release | 2012-08-11 |
Genre | Technology & Engineering |
ISBN | 3642304877 |
Vast amounts of data are nowadays collected, stored and processed, in an effort to assist in making a variety of administrative and governmental decisions. These innovative steps considerably improve the speed, effectiveness and quality of decisions. Analyses are increasingly performed by data mining and profiling technologies that statistically and automatically determine patterns and trends. However, when such practices lead to unwanted or unjustified selections, they may result in unacceptable forms of discrimination. Processing vast amounts of data may lead to situations in which data controllers know many of the characteristics, behaviors and whereabouts of people. In some cases, analysts might know more about individuals than these individuals know about themselves. Judging people by their digital identities sheds a different light on our views of privacy and data protection. This book discusses discrimination and privacy issues related to data mining and profiling practices. It provides technological and regulatory solutions, to problems which arise in these innovative contexts. The book explains that common measures for mitigating privacy and discrimination, such as access controls and anonymity, fail to properly resolve privacy and discrimination concerns. Therefore, new solutions, focusing on technology design, transparency and accountability are called for and set forth.
Data Protection in a Profiled World
Title | Data Protection in a Profiled World PDF eBook |
Author | Serge Gutwirth |
Publisher | Springer Science & Business Media |
Pages | 343 |
Release | 2010-08-03 |
Genre | Law |
ISBN | 9048188652 |
One of the most challenging issues facing our current information society is the accelerating accumulation of data trails in transactional and communication systems, which may be used not only to profile the behaviour of individuals for commercial, marketing and law enforcement purposes, but also to locate and follow things and actions. Data mining, convergence, interoperability, ever- increasing computer capacities and the extreme miniaturisation of the hardware are all elements which contribute to a major contemporary challenge: the profiled world. This interdisciplinary volume offers twenty contributions that delve deeper into some of the complex but urgent questions that this profiled world addresses to data protection and privacy. The chapters of this volume were all presented at the second Conference on Privacy and Data Protection (CPDP2009) held in Brussels in January 2009 (www.cpdpconferences.org). The yearly CPDP conferences aim to become Europe’s most important meeting where academics, practitioners, policy-makers and activists come together to exchange ideas and discuss emerging issues in information technology, privacy and data protection and law. This volume reflects the richness of the conference, containing chapters by leading lawyers, policymakers, computer, technology assessment and social scientists. The chapters cover generic themes such as the evolution of a new generation of data protection laws and the constitutionalisation of data protection and more specific issues like security breaches, unsolicited adjustments, social networks, surveillance and electronic voting. This book not only offers a very close and timely look on the state of data protection and privacy in our profiled world, but it also explores and invents ways to make sure this world remains a world we want to live in.
Law of Raw Data
Title | Law of Raw Data PDF eBook |
Author | Jan Bernd Nordemann |
Publisher | Kluwer Law International B.V. |
Pages | 605 |
Release | 2021-08-23 |
Genre | Law |
ISBN | 9403532815 |
Data, in its raw or unstructured form, has become an important and valuable economic asset, lending it the sobriquet of ‘the oil of the twenty-first century’. Clearly, as intellectual property, raw data must be legally defined if not somehow protected to ensure that its access and re-use can be subject to legal relations. As legislators struggle to develop a settled legal regime in this complex area, this indispensable handbook will offer a careful and dedicated analysis of the legal instruments and remedies, both existing and potential, that provide such protection across a wide variety of national legal systems. Produced under the auspices of the International Association for the Protection of International Property (AIPPI), more than forty of the association’s specialists from twenty-three countries worldwide contribute national chapters on the relevant law in their respective jurisdictions. The contributions thoroughly explain how each country approaches such crucial matters as the following: if there is any intellectual property right available to protect raw data; the nature of such intellectual property rights that exist in unstructured data; contracts on data and which legal boundaries stand in the way of contract drafting; liability for data products or services; and questions of international private law and cross-border portability. Each country’s rules concerning specific forms of data – such as data embedded in household appliances and consumer goods, criminal offence data, data relating to human genetics, tax and bank secrecy, medical records, and clinical trial data – are described, drawing on legislation, regulation, and case law. A matchless legal resource on one of the most important raw materials of the twenty-first century, this book provides corporate counsel, practitioners and policymakers working in the field of intellectual property rights, and concerned academics with both a broad-based global overview on emerging legal strategies in the protection of unstructured data and the latest information on existing legislation and regulation in the area.
Regulating Risk Profiling by Law Enforcement
Title | Regulating Risk Profiling by Law Enforcement PDF eBook |
Author | Sascha van Schendel |
Publisher | |
Pages | 0 |
Release | 2024 |
Genre | |
ISBN | 9789493353558 |