A framework for managing ethics in data science projects

Sudhaman Parthasarathy; Prabin Kumar Panigrahi; Girish H. Subramanian

doi:10.1002/eng2.12722

A framework for managing ethics in data science projects

Sudhaman Parthasarathy, Prabin Kumar Panigrahi, Girish H. Subramanian

School of Business Administration (Harrisburg)

Research output: Contribution to journal › Article › peer-review

Abstract

The field of data ethics is concerned with the ethical considerations surrounding data, algorithms, and associated practices, with the aim of identifying ethical solutions. The application of ethical principles to the handling of data, algorithms, and practices can facilitate the identification and delineation of ethical quandaries within the domain of data science. The present study focuses on the topic of data ethics, specifically pertaining to the processes of data collection, data model construction, evaluation, and deployment. This study introduces a comprehensive framework designed to facilitate the management of ethical considerations in data science projects. In order to authenticate the framework, a case study was conducted and our perspectives on its practical implementation were presented. The description of the scope of future research is also provided.

Original language	English (US)
Article number	e12722
Journal	Engineering Reports
Volume	6
Issue number	3
DOIs	https://doi.org/10.1002/eng2.12722
State	Published - Mar 2024

All Science Journal Classification (ASJC) codes

General Computer Science
General Engineering

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10.1002/eng2.12722

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title = "A framework for managing ethics in data science projects",

abstract = "The field of data ethics is concerned with the ethical considerations surrounding data, algorithms, and associated practices, with the aim of identifying ethical solutions. The application of ethical principles to the handling of data, algorithms, and practices can facilitate the identification and delineation of ethical quandaries within the domain of data science. The present study focuses on the topic of data ethics, specifically pertaining to the processes of data collection, data model construction, evaluation, and deployment. This study introduces a comprehensive framework designed to facilitate the management of ethical considerations in data science projects. In order to authenticate the framework, a case study was conducted and our perspectives on its practical implementation were presented. The description of the scope of future research is also provided.",

author = "Sudhaman Parthasarathy and Panigrahi, {Prabin Kumar} and Subramanian, {Girish H.}",

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N2 - The field of data ethics is concerned with the ethical considerations surrounding data, algorithms, and associated practices, with the aim of identifying ethical solutions. The application of ethical principles to the handling of data, algorithms, and practices can facilitate the identification and delineation of ethical quandaries within the domain of data science. The present study focuses on the topic of data ethics, specifically pertaining to the processes of data collection, data model construction, evaluation, and deployment. This study introduces a comprehensive framework designed to facilitate the management of ethical considerations in data science projects. In order to authenticate the framework, a case study was conducted and our perspectives on its practical implementation were presented. The description of the scope of future research is also provided.

AB - The field of data ethics is concerned with the ethical considerations surrounding data, algorithms, and associated practices, with the aim of identifying ethical solutions. The application of ethical principles to the handling of data, algorithms, and practices can facilitate the identification and delineation of ethical quandaries within the domain of data science. The present study focuses on the topic of data ethics, specifically pertaining to the processes of data collection, data model construction, evaluation, and deployment. This study introduces a comprehensive framework designed to facilitate the management of ethical considerations in data science projects. In order to authenticate the framework, a case study was conducted and our perspectives on its practical implementation were presented. The description of the scope of future research is also provided.

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A framework for managing ethics in data science projects

Abstract

All Science Journal Classification (ASJC) codes

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