Data profiling and insurance law /:
"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 some of the biggest consumers of Big Data profiling and are increasingly using that data in deciding w...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Oxford ; New York:
Hart,
2019.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "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 some of the biggest consumers of Big Data profiling and are increasingly using that data in deciding whether to offer cover to individual potential insureds or not.More particularly, the book explores how insurers (i) gain access to information relevant to assessing risk and/or the pricing of premium; (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 or group access to insurance and the legal means by which the refusal of cover might be challenged.Written by a top 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 which Big Data offers to business"-- |
| Beschreibung: | 1 online resource (xxx, 280 pages) |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 1509920633 9781509920631 |
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| 505 | 0 | |a Introduction -- Big data and predictive analytics -- Regulatory assessment of the use of big data by insurers -- Emerging themes and issues -- Big data and the permissible constraints on the scope of cover -- Good faith and duties of disclosure in insurance law -- Regulatory constraints on the collection and use of data -- Impact of regulatory duties on the content of the duty of good faith -- Remedies for insurers' misuse of data -- Conclusions. | |
| 520 | |a "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 some of the biggest consumers of Big Data profiling and are increasingly using that data in deciding whether to offer cover to individual potential insureds or not.More particularly, the book explores how insurers (i) gain access to information relevant to assessing risk and/or the pricing of premium; (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 or group access to insurance and the legal means by which the refusal of cover might be challenged.Written by a top 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 which Big Data offers to business"-- |c Provided by publisher. | ||
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| 650 | 6 | |a Données volumineuses. | |
| 650 | 6 | |a Assurance |x Méthodes statistiques. | |
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| contents | Introduction -- Big data and predictive analytics -- Regulatory assessment of the use of big data by insurers -- Emerging themes and issues -- Big data and the permissible constraints on the scope of cover -- Good faith and duties of disclosure in insurance law -- Regulatory constraints on the collection and use of data -- Impact of regulatory duties on the content of the duty of good faith -- Remedies for insurers' misuse of data -- Conclusions. |
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| spelling | McGurk, Brendan, author. http://id.loc.gov/authorities/names/no2010117637 Data profiling and insurance law / Brendan McGurk. Oxford ; New York: Hart, 2019. ©2019 1 online resource (xxx, 280 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes bibliographical references and index. Introduction -- Big data and predictive analytics -- Regulatory assessment of the use of big data by insurers -- Emerging themes and issues -- Big data and the permissible constraints on the scope of cover -- Good faith and duties of disclosure in insurance law -- Regulatory constraints on the collection and use of data -- Impact of regulatory duties on the content of the duty of good faith -- Remedies for insurers' misuse of data -- Conclusions. "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 some of the biggest consumers of Big Data profiling and are increasingly using that data in deciding whether to offer cover to individual potential insureds or not.More particularly, the book explores how insurers (i) gain access to information relevant to assessing risk and/or the pricing of premium; (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 or group access to insurance and the legal means by which the refusal of cover might be challenged.Written by a top 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 which Big Data offers to business"-- Provided by publisher. Description based on online resource; title from digital title page (viewed on April 18, 2019). Insurance law England. Big data. http://id.loc.gov/authorities/subjects/sh2012003227 Insurance Statistical methods. http://id.loc.gov/authorities/subjects/sh85066821 Data protection Law and legislation England. Tort liability of insurance companies England. Données volumineuses. Assurance Méthodes statistiques. Compagnies d'assurances Responsabilité civile Angleterre. LAW / Computer & Internet. bisacsh LAW / Administrative Law & Regulatory Practice bisacsh Big data fast Data protection Law and legislation fast Insurance law fast Insurance Statistical methods fast Tort liability of insurance companies fast England fast has work: Data profiling and insurance law (Text) https://id.oclc.org/worldcat/entity/E39PCGvTXfFgmqpwKfy63j6TxP https://id.oclc.org/worldcat/ontology/hasWork Print version: McGurk, Brendan, author. Data profiling and insurance law Oxford, UK ; Chicago, Illinois : Hart Publishing, 2019 9781509920617 (DLC) 2018059531 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2083475 Volltext |
| spellingShingle | McGurk, Brendan Data profiling and insurance law / Introduction -- Big data and predictive analytics -- Regulatory assessment of the use of big data by insurers -- Emerging themes and issues -- Big data and the permissible constraints on the scope of cover -- Good faith and duties of disclosure in insurance law -- Regulatory constraints on the collection and use of data -- Impact of regulatory duties on the content of the duty of good faith -- Remedies for insurers' misuse of data -- Conclusions. Insurance law England. Big data. http://id.loc.gov/authorities/subjects/sh2012003227 Insurance Statistical methods. http://id.loc.gov/authorities/subjects/sh85066821 Data protection Law and legislation England. Tort liability of insurance companies England. Données volumineuses. Assurance Méthodes statistiques. Compagnies d'assurances Responsabilité civile Angleterre. LAW / Computer & Internet. bisacsh LAW / Administrative Law & Regulatory Practice bisacsh Big data fast Data protection Law and legislation fast Insurance law fast Insurance Statistical methods fast Tort liability of insurance companies fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh2012003227 http://id.loc.gov/authorities/subjects/sh85066821 |
| title | Data profiling and insurance law / |
| title_auth | Data profiling and insurance law / |
| title_exact_search | Data profiling and insurance law / |
| title_full | Data profiling and insurance law / Brendan McGurk. |
| title_fullStr | Data profiling and insurance law / Brendan McGurk. |
| title_full_unstemmed | Data profiling and insurance law / Brendan McGurk. |
| title_short | Data profiling and insurance law / |
| title_sort | data profiling and insurance law |
| topic | Insurance law England. Big data. http://id.loc.gov/authorities/subjects/sh2012003227 Insurance Statistical methods. http://id.loc.gov/authorities/subjects/sh85066821 Data protection Law and legislation England. Tort liability of insurance companies England. Données volumineuses. Assurance Méthodes statistiques. Compagnies d'assurances Responsabilité civile Angleterre. LAW / Computer & Internet. bisacsh LAW / Administrative Law & Regulatory Practice bisacsh Big data fast Data protection Law and legislation fast Insurance law fast Insurance Statistical methods fast Tort liability of insurance companies fast |
| topic_facet | Insurance law England. Big data. Insurance Statistical methods. Data protection Law and legislation England. Tort liability of insurance companies England. Données volumineuses. Assurance Méthodes statistiques. Compagnies d'assurances Responsabilité civile Angleterre. LAW / Computer & Internet. LAW / Administrative Law & Regulatory Practice Big data Data protection Law and legislation Insurance law Insurance Statistical methods Tort liability of insurance companies England |
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