Societal Implications of Big Data
| Autor: | Johannes Weyer, Karolin Eva Kappler, Lena Ulbricht, Jan-Felix Schrape |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
business.industry
Computer science 05 social sciences Big data Control (management) Wearable computer 050801 communication & media studies Data science Variety (cybernetics) Social group 0508 media and communications Work (electrical) Artificial Intelligence 0502 economics and business 050207 economics business |
| Zdroj: | KI - Künstliche Intelligenz. 32:55-60 |
| ISSN: | 1610-1987 0933-1875 |
| DOI: | 10.1007/s13218-017-0520-x |
| Popis: | Modern societies have developed a variety of technologies and techniques to identify, measure and influence people and objects. Smart devices such as smartphones and wearables assist and track their users in every aspect of life. Large amounts of data are collected, evaluated and interconnected to analyse the behaviour of individuals, social groups and collectives. By discussing recent practices of self-tracking as well of real-time control of complex systems, we will show that real-time analysis and feedback loops increasingly foster a society of (self-)control. Data scientists and social scientists should work together to develop the concepts of regulation, which are needed to cope with the challenges and risks of big data. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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