Design and Evaluation of a Tool to assist Small-Medium Organisations (SMOs) to implement Automated Decision-Making (ADM).

We present a new prototype tool intended to enable SMOs without specialist expertise in the area to implement Automated Decision-Making (ADM) with confidence. We report on the design and (briefly) evaluation of the tool, demonstrating the potential utility of a simple tool, implemented using easily accessible software (Microsoft Forms), to improve trust in the implementation of ADM.

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Publication Details

Published
2024-09-16
DOI
https://doi.org/10.1145/3686038.3686039
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00

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article

Design and Evaluation of a Tool to assist Small-Medium Organisations (SMOs) to implement Automated Decision-Making (ADM).

Richard Hyde, Joel E. Fischer, Kathryn Baguley
Big Data and Business Intelligence
article

Design and Evaluation of a Tool to assist Small-Medium Organisations (SMOs) to implement Automated Decision-Making (ADM).

Richard Hyde, Joel E. Fischer, Kathryn Baguley
article en

Abstract

We present a new prototype tool intended to enable SMOs without specialist expertise in the area to implement Automated Decision-Making (ADM) with confidence. We report on the design and (briefly) evaluation of the tool, demonstrating the potential utility of a simple tool, implemented using easily accessible software (Microsoft Forms), to improve trust in the implementation of ADM.

University of Nottingham (GB)
UK Research and Innovation, Engineering and Physical Sciences Research Council
Peace, Justice and strong institutions
Openalex Percentile: Top 76%
Big Data and Business Intelligence
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