The Cost of Algorithmic decisions : A Systematic Literature Review

Decisions have been automated since the early days. Ever since the rise of AI, ML and DataAnalytics, algorithmic decision-making has experienced a boom time. Nowadays, using AI withina company is said to be critical to the success of a company. Considering the point that it can bequite costly to dev...

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Main Author: Erhard, Annalena
Format: Others
Language:English
Published: Luleå tekniska universitet, Institutionen för system- och rymdteknik 2021
Subjects:
ai
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-85526
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spelling ndltd-UPSALLA1-oai-DiVA.org-ltu-855262021-06-22T05:25:03ZThe Cost of Algorithmic decisions : A Systematic Literature ReviewengErhard, AnnalenaLuleå tekniska universitet, Institutionen för system- och rymdteknik2021automated decisiondata-driven decisioncost driverscost analysisaiComputer SciencesDatavetenskap (datalogi)Other Computer and Information ScienceAnnan data- och informationsvetenskapHuman Computer InteractionMänniska-datorinteraktion (interaktionsdesign)Decisions have been automated since the early days. Ever since the rise of AI, ML and DataAnalytics, algorithmic decision-making has experienced a boom time. Nowadays, using AI withina company is said to be critical to the success of a company. Considering the point that it can bequite costly to develop AI/ ML and integrating it into decision-making, it is striking how littleresearch was put into the identification and analysis of its cost drivers by now. This thesis is acontribution to raise and the awareness of possible cost drivers to algorithmic decisions. Thetopic was divided in two subgroups. That is solely algorithms and hybrid decision-making. Asystematic literature review was conducted to create a theoretical base for further research. Thecost drivers for algorithms to make decisions without human interaction, the identified costdrivers identified can be found at Data Storage (including initial, floor rent, energy, service,disposal, and environmental costs), Data Processing, Transferring and Migrating. Additionally,social costs and the ones related to fairness as well as the ones related to algorithms themselves(Implementation and Design, Execution and Maintenance) could be found. Business Intelligenceused for decision making raises costs in Data quality, Update delays of cloud systems, Personneland Personnel training, Hardware, Software, Maintenance and Data Storage. Moreover, it isimportant to say that the recurrence of some costs was detected. Further research should go inthe direction of applicability of the theoretical costs in practice. Student thesisinfo:eu-repo/semantics/bachelorThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-85526application/pdfinfo:eu-repo/semantics/openAccess
collection NDLTD
language English
format Others
sources NDLTD
topic automated decision
data-driven decision
cost drivers
cost analysis
ai
Computer Sciences
Datavetenskap (datalogi)
Other Computer and Information Science
Annan data- och informationsvetenskap
Human Computer Interaction
Människa-datorinteraktion (interaktionsdesign)
spellingShingle automated decision
data-driven decision
cost drivers
cost analysis
ai
Computer Sciences
Datavetenskap (datalogi)
Other Computer and Information Science
Annan data- och informationsvetenskap
Human Computer Interaction
Människa-datorinteraktion (interaktionsdesign)
Erhard, Annalena
The Cost of Algorithmic decisions : A Systematic Literature Review
description Decisions have been automated since the early days. Ever since the rise of AI, ML and DataAnalytics, algorithmic decision-making has experienced a boom time. Nowadays, using AI withina company is said to be critical to the success of a company. Considering the point that it can bequite costly to develop AI/ ML and integrating it into decision-making, it is striking how littleresearch was put into the identification and analysis of its cost drivers by now. This thesis is acontribution to raise and the awareness of possible cost drivers to algorithmic decisions. Thetopic was divided in two subgroups. That is solely algorithms and hybrid decision-making. Asystematic literature review was conducted to create a theoretical base for further research. Thecost drivers for algorithms to make decisions without human interaction, the identified costdrivers identified can be found at Data Storage (including initial, floor rent, energy, service,disposal, and environmental costs), Data Processing, Transferring and Migrating. Additionally,social costs and the ones related to fairness as well as the ones related to algorithms themselves(Implementation and Design, Execution and Maintenance) could be found. Business Intelligenceused for decision making raises costs in Data quality, Update delays of cloud systems, Personneland Personnel training, Hardware, Software, Maintenance and Data Storage. Moreover, it isimportant to say that the recurrence of some costs was detected. Further research should go inthe direction of applicability of the theoretical costs in practice.
author Erhard, Annalena
author_facet Erhard, Annalena
author_sort Erhard, Annalena
title The Cost of Algorithmic decisions : A Systematic Literature Review
title_short The Cost of Algorithmic decisions : A Systematic Literature Review
title_full The Cost of Algorithmic decisions : A Systematic Literature Review
title_fullStr The Cost of Algorithmic decisions : A Systematic Literature Review
title_full_unstemmed The Cost of Algorithmic decisions : A Systematic Literature Review
title_sort cost of algorithmic decisions : a systematic literature review
publisher Luleå tekniska universitet, Institutionen för system- och rymdteknik
publishDate 2021
url http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-85526
work_keys_str_mv AT erhardannalena thecostofalgorithmicdecisionsasystematicliteraturereview
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