Business and the Ethical Implications of Technology

Martin, K., Shilton, K. & Smith, J.
J Bus Ethics (2019).
https://doi.org/10.1007/s10551-019-04213-9

Abstract

While the ethics of technology is analyzed across disciplines from science and technology studies (STS), engineering, computer science, critical management studies, and law, less attention is paid to the role that firms and managers play in the design, development, and dissemination of technology across communities and within their firm. Although firms play an important role in the development of technology, and make associated value judgments around its use, it remains open how we should understand the contours of what firms owe society as the rate of technological development accelerates. We focus here on digital technologies: devices that rely on rapidly accelerating digital sensing, storage, and transmission capabilities to intervene in human processes. This symposium focuses on how firms should engage ethical choices in developing and deploying these technologies. In this introduction, we, first, identify themes the symposium articles share and discuss how the set of articles illuminate diverse facets of the intersection of technology and business ethics. Second, we use these themes to explore what business ethics offers to the study of technology and, third, what technology studies offers to the field of business ethics. Each field brings expertise that, together, improves our understanding of the ethical implications of technology. Finally we introduce each of the five papers, suggest future research directions, and interpret their implications for business ethics.

The Introduction is here.

There are several other articles related to this introduction.

Values in the Filter Bubble Ethics of Personalization Algorithms in Cloud Computing

Engin Bozdag and Job Timmermans
Delft University of Technology
Faculty of Technology, Policy and Management

Abstract

Cloud services such as Facebook and Google search started to use personalization algorithms in order to deal with growing amount of data online. This is often done in order to reduce the “information overload”. User’s interaction with the system is recorded in a single identity, and the information is personalized for the user using this identity. However, as we argue, such filters often ignore the context of information and they are never value neutral. These algorithms operate without the control and knowledge of the user, leading to a “filter bubble”. In this paper we use Value Sensitive Design methodology to identify the values and value assumptions implicated in personalization algorithms. By building on existing philosophical work, we discuss three human values implicated in personalized filtering: autonomy, identity, and transparency.

A copy of the paper is here.