Algorithmic Agency in Information Systems: Research Opportunities for Data Analytics of Digital Traces
| Autor: | Jonas Valbjørn Andersen, Lisen Selander, Rikard Lindgren, Aron Lindberg |
|---|---|
| Přispěvatelé: | Information, Logistics and Innovation, Amsterdam Business Research Institute, KIN Center for Digital Innovation |
| Rok vydání: | 2016 |
| Předmět: |
Sociotechnical system
Generativity Computer science Management science 05 social sciences Context (language use) 02 engineering and technology Cognitive reframing Complex network Data science 020204 information systems 0502 economics and business Agency (sociology) 0202 electrical engineering electronic engineering information engineering Information system 050203 business & management |
| Zdroj: | HICSS Andersen, J V, Lindberg, A, Lindgren, R & Selander, L 2016, Algorithmic Agency in Information Systems: Research Opportunities for Data Analytics of Digital Traces . in Proceedings of the 49th Annual Hawaii International Conference on System Sciences . ICSS, Hawaii, 49th Annual Hawaii International Conference on System Sciences, 1/01/16 . Proceedings of the 49th Annual Hawaii International Conference on System Sciences Vrije Universiteit Amsterdam |
| Popis: | The complex networks of today involve algorithms, humans, machines, and tools. As a consequence of their digital and sociotechnical nature, they increasingly exhibit autonomous and intelligent characteristics. This development puts prevailing assumptions about information systems at stake. In this paper, we specifically engage with a radical reframing of past conceptualizations of machine intelligence or agency. Based on our theorizing, we advance and substantiate a novel algorithmic agency perspective that centers around three key characteristics: algorithmic interpretation, data generativity, and input translation. These characteristics pave the way for a new wave of research in information systems. Our proposed research opportunities for data analytics of digital traces address conditions for, features of, and approaches to algorithmic agency. |
| Databáze: | OpenAIRE |
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