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Collectively Improve the Quality of Life at Work: How and Which Data to Collect and Analyze?

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2023

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European Society for Socially Embedded Technologies (EUSSET)

Abstract

The European Union announced recently that Europe should be a global hub and leader in the development of Artifcial Intelligence (AI) that guarantees safety and fundamental rights (European Commission (2021)). In this workshop, we investigate how we can approach this challenge from the perspective of Computer-Supported Cooperative Work (CSCW). Starting with a general conceptual focus on algorithmic systems and their increasing role in society, we are particularly interested in such systems in and as organisations, and the questions that come up when investigating them as part of complex, cooperative work practices. The full-day workshop, designed for up to 20 participants, advances a CSCW-perspective on algorithmic/AI systems by bringing together researchers within (and where possible beyond) the CSCW community who study algorithmic systems, with the aim of sharing ongoing research and connecting participants with others who share their research interests.

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Bossen, Claus; Chassot, Christophe; Datchary, Caroline; Grosjean, Sylvie; Guha, Shion; Lewkowicz, Myriam; Medjiah, Samir (2023): Collectively Improve the Quality of Life at Work: How and Which Data to Collect and Analyze?. Proceedings of 21st European Conference on Computer-Supported Cooperative Work. DOI: 10.48340/ecscw2023_ws03. European Society for Socially Embedded Technologies (EUSSET). EISSN: 2510-2591. Workshop. Trondheim, Norway. 5 June - 9 June 2023

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