AI Ethics and Customer Care: Some Considerations from the Case of “Intelligent Sales”

dc.contributor.authorWolf, Christine T.
dc.date.accessioned2020-06-05T23:52:34Z
dc.date.available2020-06-05T23:52:34Z
dc.date.issued2020
dc.description.abstractThis note considers the topic of AI ethics as it relates to applied, industrial AI projects. In particular, it examines “intelligent sales,” a strategic management concept that envisions the enhancement of workflows within a sales organization with the use of Big Data and artificial intelligence (AI). This note examines common depictions of intelligent sales campaigns in management literature, identifying key topics in these discourses: data fusion, responsive customer care, automation, and streamlined delivery. We focus on ways in which intelligent sales is envisioned to enrich the customer-sales relationship through the use of Big Data and AI, surfacing ethical considerations around: training data and the use of AI outputs in everyday work practices. This paper contributes to discourses on the fairness, accountability, and transparency (FAccT*) of algorithmic systems by raising a number of emergent concerns in enterprise AI applications and in particular some considerations from the emergent management concept intelligent sales.en
dc.identifier.doi10.18420/ecscw2020_n02
dc.identifier.pissn2510-2591
dc.identifier.urihttps://dl.eusset.eu/handle/20.500.12015/3406
dc.language.isoen
dc.publisherEuropean Society for Socially Embedded Technologies (EUSSET)
dc.relation.ispartofProceedings of 18th European Conference on Computer-Supported Cooperative Work
dc.relation.ispartofseriesReports of the European Society for Socially Embedded Technologies: vol. 4, no. 1
dc.titleAI Ethics and Customer Care: Some Considerations from the Case of “Intelligent Sales”en
dc.typeText/Conference Paper
gi.conference.date13 - 17 June 2020
gi.conference.locationSiegen, Germany
gi.conference.sessiontitleNotes
mci.conference.reviewfull

Files

Original bundle
1 - 1 of 1
Loading...
Thumbnail Image
Name:
ecscw2020_n02.pdf
Size:
523.57 KB
Format:
Adobe Portable Document Format