Targeting vulnerable populations: The ethical implications of data mining, automated prediction, and focused marketing

2021 ◽  
Author(s):  
Gerard A. Callanan ◽  
David F. Perri ◽  
Sandra M. Tomkowicz
Keyword(s):  
Data Mining ◽  
Vulnerable Populations ◽  
Ethical Implications ◽  
Automated Prediction

A Case Study in Data Mining for Automated Building of Teams

2010 ◽  
pp. 247-265 ◽  
Author(s):  
Robert K. McCormack
Keyword(s):  
Data Mining ◽  
Small Business ◽  
Personal Information ◽  
Technical Skills ◽  
Research Project ◽  
Team Members ◽  
Ethical Implications ◽  
Employee Data

This chapter highlights a case study involving research into the science of building teams. Accomplishment of mission goals requires team members to not only possess the required technical skills but also the ability to collaborate effectively. The authors describe a research project that aims to develop an automated staffing system. Any such system requires a large amount of personal information about the potential team members under consideration. Gathering, storing, and applying this data raises a spectrum of concerns, from social and ethical implications, to technical hurdles. The authors hope to highlight these concerns by focusing on their research efforts which include obtaining and using employee data within a small business.

scholarly journals Privacy concerns in educational data mining and learning analytics

2020 ◽  
Vol 28 ◽  
Author(s):  
Isak Potgieter
Keyword(s):  
Data Mining ◽  
Learning Analytics ◽  
Teaching And Learning ◽  
Educational Data Mining ◽  
Analysis Data ◽  
Privacy Concerns ◽  
Ethical Implications ◽  
Individual Privacy ◽  
Future Of Education ◽  
The Impact

Education at all levels is increasingly augmented and enhanced by data mining and analytics, catalysed by the growing prevalence of automated distance learning. With an unprecedented capacity to scale both horizontally (individuals reached) and vertically (level of analysis), data mining and analytics are set to be a transformative part of the future of education. We reflect on the assumptions behind data mining and the potential consequences of learning analytics, with reference to an issue brief prepared for the U.S. Department of Education entitled Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics. We argue that the associated gains conceal subtle, but important risks. Data-ism, an underpinning paradigm, assigns unjustified veracity to data-driven science and the application of personalised analytics may compromise individual privacy, agency and inventiveness. This holds serious ethical implications, particularly when considering the impact on minors, rendering wholesale adoption premature.

scholarly journals Marketing, Consumers and Technology: Perspectives for Enhancing Ethical Transactions

2006 ◽  
Vol 16 (3) ◽  
pp. 313-321 ◽  
Author(s):  
Gene R. Laczniak ◽  
Patrick E. Murphy
Keyword(s):  
Data Mining ◽  
The Internet ◽  
Ethical Implications ◽  
Ethical Debate ◽  
Use Of The Internet

Abstract:The advance of technology has influenced marketing in a number of ways that have ethical implications. Growth in use of the Internet and e-commerce has placed electronic “cookies,” spyware, spam, RFIDs, and data mining at the forefront of the ethical debate. Some marketers have minimized the significance of these trends. This overview paper examines these issues and introduces the two articles that follow. It is hoped that these entries will further the important “marketing and technology” ethical debate.

scholarly journals Vulnerable Populations: Investigating Ethical Implications for Policies and Practices of International Humanitarian Organizations

2017 ◽  
Vol 32 (S1) ◽  
pp. S49-S50
Author(s):  
Lisa Eckenwiler ◽  
Ayesha Ahmad ◽  
Ryoa Chung ◽  
Matthew Hunt ◽  
Jackie Leach Scully ◽  
...  
Keyword(s):  
Vulnerable Populations ◽  
Ethical Implications ◽  
Humanitarian Organizations ◽  
Policies And Practices

scholarly journals Automated Prediction of Behaviours and Trends in Data Mining

2019 ◽  
Vol 9 (2) ◽  
pp. 5188-5190
Keyword(s):  
Data Mining ◽  
Information Retrieval ◽  
Expert System ◽  
High Performance ◽  
Financial Institution ◽  
Semantic Networks ◽  
Visual Images ◽  
Knowledge Based ◽  
Automated Prediction

Data mining is the process of discovering likely useful, appealing, as well as previously not known patterns coming from an extensive compilation of data. Data mining is a multidisciplinary field, enticing projects coming from places consisting of data financial institution advancement, expert system, stats, style understanding, information retrieval, semantic networks, knowledge-based units, expert system, high-performance processing, as well as files visual images. This paper delivers a quick concerning architecture, benefits and automated prediction of trends as well as behaviors in Data Mining

Data mining and automated prediction: A pedagogical primer for classroom discussion

2018 ◽  
Vol 93 (7) ◽  
pp. 353-361
Author(s):  
Gerard A. Callanan ◽  
David F. Perri ◽  
Sandra M. Tomkowicz
Keyword(s):  
Data Mining ◽  
Classroom Discussion ◽  
Automated Prediction

Delivering HIV services to vulnerable populations: an evaluation and research agenda

2002 ◽  
Vol 117 (2) ◽  
pp. 114-122 ◽  
Author(s):  
Martha M McKinney ◽  
Katherine M Marconi ◽  
Paul D Cleary ◽  
Jennifer Kates ◽  
Steven R Young ◽  
...  
Keyword(s):  
Vulnerable Populations ◽  
Research Agenda ◽  
Hiv Services

Data Mining and Machine Learning

2020 ◽  
Author(s):  
Mohammed J. Zaki ◽  
Wagner Meira, Jr
Keyword(s):  
Machine Learning ◽  
Data Mining
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