Data Profiling and Insurance Law
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| Title: | Data Profiling and Insurance Law |
|---|---|
| Description: | 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. |
| Authors: | Brendan McGurk KC |
| Resource Type: | eBook. |
| Subjects: | Insurance--Statistical methods, Big data, Insurance law--England, Tort liability of insurance companies--England, Data protection--Law and legislation--England |
| Categories: | LAW / Insurance, LAW / Computer & Internet, LAW / Privacy |
| Database: | eBook Collection (EBSCOhost) |
| FullText | Links: – Type: ebook-pdf – Type: ebook-epub Text: Availability: 0 |
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| Header | DbId: nlebk DbLabel: eBook Collection (EBSCOhost) An: 2083475 RelevancyScore: 1090 AccessLevel: 6 PubType: eBook PubTypeId: ebook PreciseRelevancyScore: 1090.09973144531 |
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| Items | – Name: Title Label: Title Group: Ti Data: Data Profiling and Insurance Law – Name: Abstract Label: Description Group: Ab Data: 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. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Brendan+McGurk+KC%22">Brendan McGurk KC</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Insurance--Statistical+methods%22">Insurance--Statistical methods</searchLink><br /><searchLink fieldCode="DE" term="%22Big+data%22">Big data</searchLink><br /><searchLink fieldCode="DE" term="%22Insurance+law--England%22">Insurance law--England</searchLink><br /><searchLink fieldCode="DE" term="%22Tort+liability+of+insurance+companies--England%22">Tort liability of insurance companies--England</searchLink><br /><searchLink fieldCode="DE" term="%22Data+protection--Law+and+legislation--England%22">Data protection--Law and legislation--England</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22LAW+%2F+Insurance%22">LAW / Insurance</searchLink><br /><searchLink fieldCode="ZK" term="%22LAW+%2F+Computer+%26+Internet%22">LAW / Computer & Internet</searchLink><br /><searchLink fieldCode="ZK" term="%22LAW+%2F+Privacy%22">LAW / Privacy</searchLink> |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=nlebk&AN=2083475 |
| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 346.420862 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Insurance--Statistical methods Type: general – SubjectFull: Big data Type: general – SubjectFull: Insurance law--England Type: general – SubjectFull: Tort liability of insurance companies--England Type: general – SubjectFull: Data protection--Law and legislation--England Type: general Titles: – TitleFull: Data Profiling and Insurance Law Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Brendan McGurk KC – PersonEntity: Name: NameFull: Brendan McGurk KC IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2019 – D: 21 M: 03 Type: profile Y: 2019 Identifiers: – Type: isbn-print Value: 9781509920617 – Type: isbn-print Value: 9781509945412 – Type: isbn-electronic Value: 9781509920624 – Type: isbn-electronic Value: 9781509920631 Titles: – TitleFull: Data Profiling and Insurance Law Type: main |
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