RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      Data profiling and insurance law

      한글로보기

      https://www.riss.kr/link?id=M15455497

      • 저자
      • 발행사항

        Oxford, UK ; Chicago, Illinois : Hart Publishing, 2019

      • 발행연도

        2019

      • 작성언어

        영어

      • 주제어
      • DDC

        346.42/0862 판사항(23)

      • ISBN

        9781509920617 (hardback)

      • 자료형태

        일반단행본

      • 발행국(도시)

        England

      • 서명/저자사항

        Data profiling and insurance law / Brendan McGurk.

      • 형태사항

        xxx, 279 p. ; 24 cm

      • 일반주기명

        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.

      • 소장기관
        • 고려대학교 과학도서관 소장기관정보 Deep Link
        • 국립중앙도서관 국립중앙도서관 우편복사 서비스
        • 국회도서관 소장기관정보
        • 단국대학교 퇴계기념도서관(중앙도서관) 소장기관정보
        • 법원도서관 소장기관정보
        • 서울대학교 법학도서관 소장기관정보 Deep Link
        • 한국외국어대학교 서울캠퍼스 도서관 소장기관정보
      • 0

        상세조회
      • 0

        다운로드
      서지정보 열기
      • 내보내기
      • 내책장담기
      • 공유하기
      • 오류접수

      부가정보

      목차 (Table of Contents)

      • CONTENTS
      • Acknowledgements = vii
      • Table of Cases = xv
      • Table of Legislation = xxiii
      • Introduction = 1
      • CONTENTS
      • Acknowledgements = vii
      • Table of Cases = xv
      • Table of Legislation = xxiii
      • Introduction = 1
      • Ⅰ. Scope and Structure of the Book = 1
      • Ⅱ. Big Data's Impact on Insurance = 2
      • Ⅲ. Information Asymmetries and Principles of Insurance Law = 3
      • A. Big Data and Customised Cover = 4
      • B. Big Data and the Duty of Good Faith Disclosure = 4
      • Ⅳ. Remedies for Insurers' Misuse of Big Data = 6
      • Ⅴ. Relationship between Social Change and Legal Principle = 7
      • PART Ⅰ BIG DATA'S IMPACT ON THE PROVISION AND REGULATION OF INSURANCE
      • 1 Big Data and Predictive Analytics = 11
      • Ⅰ. Big Data : Definition and Techniques = 11
      • Ⅱ. The Nature, Collection, Sources and Aggregation of Data = 14
      • A. Types of Data = 14
      • B. Collection of Data : First Party or Third Party = 14
      • C. Sources of Data = 15
      • Ⅲ. How Big Data is Transforming Insurance Business = 25
      • A. Changes in the Way Insurance is Sold and Distributed = 25
      • B. Changes in How Risk is Assessed and Priced = 26
      • C. Changes in the Nature of the Claims Process / Detection of Fraud = 28
      • D. Changes to the Structure and Role of the Market = 29
      • Ⅳ. Conclusions = 34
      • 2 Regulatory Assessment of the Use of Big Data by Insurers = 36
      • Ⅰ. Regulatory Assessment by UK Regulators = 36
      • A. CMA's Report on the Commercial Use of Consumer Data 2015 = 36
      • B. The FCA's Feedback Statement 2016 = 44
      • C. The FCA and ICO's Forum on the Use of Big Data 2016 = 49
      • Ⅱ. Regulatory Assessment by EU Regulators = 49
      • Ⅲ. Conclusions = 52
      • 3 Emerging Themes and Issues = 53
      • Ⅰ. Transparency and Privacy Concerns = 53
      • A. The Right to Know What Information is Held and to Determine its Accuracy = 53
      • B. The Problems of Correlation and Context = 54
      • C. The Problem of Opacity = 56
      • D. The Problem of Data Minimisation and Repurposing = 57
      • E. The Problem of Out-dated Data : A Right to Delete? = 59
      • Ⅱ. Information Asymmetries, Adverse Selection and Segmentation of Risk Pools = 60
      • A. Information Asymmetry and Adverse Selection = 60
      • B. Solidarity-Based and Mutuality-Based Insurance = 62
      • C. Regulatory Assessment of Risk Segmentation = 66
      • Ⅲ Access to Insurance = 68
      • A. Segmentation and Discrimination on the Grounds of Protected Characteristics = 68
      • B. Should Insurers be Prohibited from Taking Certain Risk-related Information into Account? = 74
      • C. Moral Hazard and the Problem of Data Creep = 82
      • D. Segmentation and Price Discrimination = 84
      • Ⅳ. Conclusions = 86
      • PART Ⅱ BIG DATA AND THE PRINCIPLES OF INSURANCE LAW
      • 4 Big Data and the Permissible Constraints on the Scope of Cover = 91
      • Ⅰ. Terms of Insurance Contracts = 92
      • A. Insurance Conditions = 92
      • B. Insurance Warranties = 94
      • Ⅱ. General Constraints on Policy Terms = 98
      • A. Increase in and Change of Risk : Limits in the Scope of the Initial Cover = 98
      • B. Clauses Providing for Variation of Cover = 100
      • C. Constraints on Terms Imposed by Financial Services Regulation = 104
      • D. The Consumer Rights Act 2015 = 106
      • Ⅲ. Constraints in Relation to Specific Classes of Risk = 109
      • A. Profiling and Motor Insurance = 109
      • B. Profiling and Property Insurance = 118
      • Ⅳ. Conclusions = 121
      • 5 Good Faith and Duties of Disclosure in Insurance Law = 123
      • Ⅰ. Duties of Disclosure in English Contract Law = 124
      • Ⅱ. The Good Faith Duty of Disclosure in Insurance Law = 127
      • A. Evolution and Rationale of the Duty of Disclosure = 127
      • B. Conclusion as to Rationale of the Duty of Disclosure = 141
      • Ⅲ. Legislative Reform = 143
      • A. The Law Commission's Review and Reports 2006-2014 = 143
      • B. CIDRA 2012 : Disclosure in Consumer Insurance = 150
      • C. IA 2015 : Disclosure in Non-consumer Insurance = 152
      • D. Insurer's Duty of Good Faith after the IA 2015 = 158
      • Ⅳ. Conclusions = 164
      • PART Ⅲ THE IMPACT OF REGULATORY LAW ON INSURANCE LAW
      • 6 Regulatory Constraints on the Collection and Use of Data = 167
      • Ⅰ. Financial Services Regulation = 167
      • A. PRIN = 169
      • B. COBS and ICOBS = 170
      • Ⅱ. Regulation of Insurance - The Insurance Distribution Directive = 173
      • Ⅲ. Data Protection Regulation = 176
      • A. EU Framework = 176
      • B. ECHR Framework = 200
      • Ⅳ. Conclusions = 202
      • 7 Impact of Regulatory Duties on the Content of the Duty of Good Faith = 203
      • Ⅰ. Deficiencies in the Good Faith Duty of Disclosure = 204
      • Ⅱ. Does the GDPR's Application to Insurers Address the Common Law's Deficiencies? = 207
      • A. Articles 13-14 GDPR and the Right to be Informed = 208
      • B. Article 22 GDPR and the Right to Disclosure = 210
      • Ⅲ. Can the Good Faith Duty of Disclosure Evolve by Analogy with the GDPR? = 212
      • Ⅳ. The Evolution of the Common Law Duty of Disclosure on Insurers = 218
      • A. Good Faith as an Interpretative Principle = 218
      • B. Good Faith and the Development of the Duty of Disclosure = 221
      • Ⅴ. Conclusions = 224
      • PART Ⅳ REMEDIES
      • 8 Remedies for Insurers' Misuse of Data = 229
      • Ⅰ. Financial Services Remedies = 229
      • A. Damages Actions = 230
      • B. Complaints to the FOS = 231
      • Ⅱ. Consumer Law Remedies = 233
      • Ⅲ. Equality and Anti-Discrimination Remedies = 233
      • A. UK Equality Law = 234
      • B. Equality Act Remedies = 238
      • Ⅳ. Competition Law Remedies = 239
      • A. Access to Data as an Essential Input = 241
      • B. Competition Issues as a Result of the Use of Algorithms = 243
      • C. Market Investigations = 244
      • Ⅴ. Data Law Remedies = 244
      • A. GDPR, Article 82 = 244
      • B. Case Law under s 13 of the DPA 1998 = 245
      • Ⅵ. Insurance Law Remedies at Common Law = 248
      • A. Damages and the Duty of Disclosure = 248
      • B. Damages and a Duty to Take Care = 253
      • PART Ⅴ CONCLUSIONS
      • 9 Conclusions = 263
      • Ⅰ. Summary of the Argument = 263
      • Ⅱ. Detailed Conclusions = 264
      • A. Impact of Big Data on Duties of Disclosure by Insureds and Insurers = 264
      • B. Insurers' Expanded Duty of Disclosure as a Means of Mitigating Incorrect Profiling = 267
      • C. Regulatory Consequences : Access to Insurance = 268
      • Ⅲ. The Future of Insurance in the Big Data Age = 269
      • Index = 271
      더보기

      온라인 도서 정보

      온라인 서점 구매

      온라인 서점 구매 정보
      서점명 서명 판매현황 종이책 전자책 구매링크
      정가 판매가(할인율) 포인트(포인트몰)
      예스24.com

      Data Profiling and Insurance Law

      판매중 259,870원 259,870원 (0%)

      종이책 구매

      7,800포인트 (3%)
      • 포인트 적립은 해당 온라인 서점 회원인 경우만 해당됩니다.
      • 상기 할인율 및 적립포인트는 온라인 서점에서 제공하는 정보와 일치하지 않을 수 있습니다.
      • RISS 서비스에서는 해당 온라인 서점에서 구매한 상품에 대하여 보증하거나 별도의 책임을 지지 않습니다.

      분석정보

      View

      상세정보조회

      0

      Usage

      원문다운로드

      0

      대출신청

      0

      복사신청

      0

      EDDS신청

      0

      동일 주제 내 활용도 TOP

      더보기

      이 자료와 함께 이용한 RISS 자료

      나만을 위한 추천자료

      해외이동버튼