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  Profiling and (Automated) Decision-Making under the GDPR: A Two-Step Approach

Wiedemann, K. (2022). Profiling and (Automated) Decision-Making under the GDPR: A Two-Step Approach. Computer Law & Security Review,. doi:10.1016/j.clsr.2022.105662.

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アイテムのパーマリンク: https://hdl.handle.net/21.11116/0000-000A-17D9-8 版のパーマリンク: https://hdl.handle.net/21.11116/0000-000A-17DB-6
資料種別: 学術論文

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 作成者:
Wiedemann, Klaus1, 著者           
所属:
1MPI for Innovation and Competition, Max Planck Society, ou_2035291              

内容説明

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キーワード: Automated decision-making ; Credit scoring ; Anti-discrimination law ; Data protection law ; GDPR ; Profiling
 要旨: This paper examines profiling and decision-making under the GDPR and analyses how these two processes are interconnected. The GDPR's definition of profiling is analysed and put in relation to both automated and human decision-making. This contribution works with a two-step approach. It can be derived from the structure and wording of the GDPR and provides for an enhanced level of legal certainty. Within this approach, profiling is considered to be step 1 and decision-making to be step 2. The two steps are treated as distinct, yet logically interconnected. This helps understand how profiling and decision-making are conducted. It makes it possible to identify the legal implications of these two steps and to allocate who is legally responsible, no matter how many parties are involved. The approach might be particularly helpful in the context of joint controllership, as it makes it possible to delineate whether joint controllership is given in the first place and to allocate the respective responsibilities of the parties concerned. Profiling (step 1) leads to implications of primary relevance for the data subjects’ right to the protection of personal data. Decision-making (step 2) regularly does not lead to such data protection implications but is primarily relevant from a personal autonomy and (economic) freedom perspective. A notable exception is the rare scenario of solely automated decision-making falling under Art. 22(1) GDPR. The two-step approach is eventually applied to a use case that concerns profiling and automated decision-making in the context of credit scoring conducted by a social network.

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言語: eng - English
 日付: 2022-03-11
 出版の状態: オンラインで出版済み
 ページ: -
 出版情報: -
 目次: -
 査読: -
 識別子(DOI, ISBNなど): DOI: 10.1016/j.clsr.2022.105662
 学位: -

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出版物 1

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出版物名: Computer Law & Security Review
種別: 学術雑誌
 著者・編者:
所属:
出版社, 出版地: -
ページ: - 巻号: - 通巻号: 105662 開始・終了ページ: - 識別子(ISBN, ISSN, DOIなど): ISSN: 0267-3649
ZDB: 2504888-0