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Data mining – sociopolitical and legal challenges

Gerlinger, Katrin 1
1 Institut für Technikfolgenabschätzung und Systemanalyse (ITAS), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

Data mining refers to the recognition of patterns and structures in large data sets. Information is generated, for example on similarities, deviations or anomalies, as well as mathematical-statistical models and algorithms that can be used in new situations with the same facts in order to at least support decisions.
Data mining is considered to have an enormous innovation potential in almost all areas of life. However there are concerns about non-transparent procedures as well as unequal possibilities of making us of data mining. Involved fears refer to, e.g. an end of privacy or the uncontrollability of algorithmic systems. Among others, there are challenges with regard to providing data, specifying the possibilities and limits of the analysis, and dealing with the results. Extensive expertise is required for implementation, verification and monitoring. Impact assessments and evaluations should be based on the respective application.
The TAB report (see Relation in KITopen, available only in German) discusses examples of data mining in medicine and health care.

Volltext §
DOI: 10.5445/IR/1000156941
Veröffentlicht am 02.05.2023
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Technikfolgenabschätzung und Systemanalyse (ITAS)
Publikationstyp Forschungsbericht/Preprint
Publikationsmonat/-jahr 07.2022
Sprache Englisch
Identifikator ISSN: 2364-2645
KITopen-ID: 1000156941
HGF-Programm 46.24.02 (POF IV, LK 01) Conceptual and Methodological Research
Verlag Büro für Technikfolgen-Abschätzung beim Deutschen Bundestag (TAB)
Umfang 4 S.
Serie TAB-Fokus ; 40
Externe Relationen Siehe auch
Schlagwörter Data processing; Statistics; Data mining; Digitisation; Research; Healthcare; Artificial intelligence; Medicine; Medical research; Medical device; Medical technology
Relationen in KITopen
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