Zetech University Library - Online Catalog

Mobile: +254-705278678

Whatsapp: +254-706622557

Feedback/Complaints/Suggestions

library@zetech.ac.ke

Amazon cover image
Image from Amazon.com
Image from Google Jackets
Image from OpenLibrary

Ethics of data and analytics : concepts and cases / Kirsten Martin.

By: Material type: TextTextPublication details: Abingdon, Oxon : CRC Press, c2022Edition: First editionDescription: xvii, 473 pages ; 26 cm illISBN:
  • 9781032217314
  • 9781032062938
Subject(s): DDC classification:
  • 006.3/12 23/eng/20220201
LOC classification:
  • QA76.9.D343 M384 2022
Contents:
Value-laden biases in data analytics -- Ethical theories and data analytics -- Privacy, data and shared responsibility -- Surveillance and power -- The purpose of the corporation and data analytics -- Fairness and justice in data analytics -- Discrimination and data analytics -- Creating outcomes and accuracy in data analytics -- Gamification, manipulation and data analytics -- Transparency and accountability in data analytics -- Ethics, AI, Research and corporations
Summary: "This textbook provides faculty the major concepts and cases to include in a class on the ethics of data analytics. The book is distinct as it focuses on ethics of data analytics, AI, and data (rather than infrastructure and reliability) and by explicitly linking data analytics to foundational business ethics theory"--
Tags from this library: No tags from this library for this title. Log in to add tags.
Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode
Books Books Zetech Library - TRC General Stacks Non-fiction QA76.9.D343 .M37 2022 (Browse shelf(Opens below)) C 1 Available Z012266
Books Books Zetech Library - TRC General Stacks Non-fiction QA76.9.D343 .M37 2022 (Browse shelf(Opens below)) C 2 Available Z012267

Includes bibliographical references and index.

Value-laden biases in data analytics -- Ethical theories and data analytics -- Privacy, data and shared responsibility -- Surveillance and power -- The purpose of the corporation and data analytics -- Fairness and justice in data analytics -- Discrimination and data analytics -- Creating outcomes and accuracy in data analytics -- Gamification, manipulation and data analytics -- Transparency and accountability in data analytics -- Ethics, AI, Research and corporations

"This textbook provides faculty the major concepts and cases to include in a class on the ethics of data analytics. The book is distinct as it focuses on ethics of data analytics, AI, and data (rather than infrastructure and reliability) and by explicitly linking data analytics to foundational business ethics theory"--

There are no comments on this title.

to post a comment.