Human Values as the Basis for Sustainable Information System Design

Information systems (IS) play an increasing role for individual well-being [3], for the environment [4], and for society at large [5]. Considering sustainability in IS development is therefore becoming paramount. However, companies today associate sustainability with extra cost and burden on their operations. As a result, many view sustainability more as a demand and a challenge rather than an opportunity. In this article, we argue that companies should rethink this attitude, as both sustainability and a business model can be understood as deeply rooted in human values

Ethical Issues in Empirical Studies of Software Engineering

The popularity of empirical methods in software engineering research is on the rise. Surveys, experiments, metrics, case studies, and field studies are examples of empirical methods used to investigate both software engineering processes and products. The increased application of empirical methods has also brought about an increase in discussions about adapting these methods to the peculiarities of software engineering. In contrast, the ethical issues raised by empirical methods have received little, if any, attention in the software engineering literature. This article is intended to introduce the ethical issues raised by empirical research to the software engineering research community, and to stimulate discussion of how best to deal with these ethical issues. Through a review of the ethical codes of several fields that commonly employ humans and artifacts as research subjects, we have identified major ethical issues relevant to empirical studies of software engineering. These issues are illustrated with real empirical studies of software engineering

A look in the rearview mirror at Volkswagen software engineering

The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.This paper explores the role of software engineers in the Volkswagen emissions scandal. The Software Engineering Code of Ethics and Professional Practice is used to analyse the probable conduct of those involved in the creation of the so-called defeat software. The paper concludes with suggestions as to what could be done to reduce the risk of reoccurring unethical practice in the future

Graduate Curricula in Software Engineering and Software Assurance: Need and Recommendations

In discussions about the development and use of computer systems and software products, the term “professional software engineer” is used repeatedly. In the last two decades there has been significant effort devoted to enhancing and advancing the state of professional software engineering (SwE) – new software engineering processes, methods, tools, and practices; creation of a software engineering body of knowledge [1]; development of a code of ethics and professional conduct [2], and software certification and licensing programs [3] . In 1989 the Software Engineering Institute (SEI) of Carnegie Mellon University published a landmark report on graduate education in software engineering [4]. The guidelines in that report were used by several universities in establishing graduate software engineering degree programs that helped address the problem of improving professional software engineering. Since then, software’s scale, complexity, and criticality have accelerated; yet, until recently, no significant effort has been made to revisit and update the original SEI guidelines. This paper discusses two related efforts to provide guidance about improving professional software engineering through graduate education: a project which produced the Graduate Software Engineering 2009 (GSwE2009): Curriculum Guidelines for Graduate Degree Programs in Software Engineering [5] and a current SEI project which is developing a Master of Software Assurance Reference Curriculum (MSwA2010)

A set of ethical principles for design science research in information systems

Over the past decade, design science research (DSR) has re-emerged as an important research paradigm in the field of information systems. However, the approaches currently recommended for conducting design science research do not include an ethical component. Thus, the objective of this paper is to initiate a debate about the need for ethical principles for DSR in Information Systems (IS). To launch this debate, we suggest that a set of ethical principles for DSR in IS must be created. Although the interpretation and application of these principles might not always be straightforward, our argument is that all DSR practitioners in IS should devote at least some time to consider ethical principles

Beyond panoptic surveillance: On the ethical dilemmas of the connected workplace

Technological advances such as the Internet-of-Things, big data, and artificial intelligence have enabled new ways of managerial oversight moving away from panoptic surveillance to what we call “connected surveillance”. The COVID-19 pandemic has accelerated the adoption of connected surveillance, which purpose is not only scrutinizing employees’ work performance, but also health, personal beliefs, and other private matters. With the implementation of connected workplaces, therefore, various ethical dilemmas arise. We highlight four emerging dilemmas, namely: (1) the good of the individual versus the good of the community, (2) ownership versus information disclosure, (3) justice versus mercy, and (4) truth versus loyalty. We discuss those ethical dilemmas for the case of corporate wellness programs which is frequently being used as guise to introduce connected surveillance. Following a socio-technical perspective, we discuss ethical responses that focus on people involvement and technology assessment. We highlight practical responses that can aim at mitigating the dilemmas

Beyond Panoptic Surveillance: On the Ethical Dilemmas of the Connected Workplace

Technological advances such as the Internet-of-Things, big data, and artificial intelligence have enabled new ways of managerial oversight moving away from panoptic surveillance to what we call “connected surveillance”. The COVID-19 pandemic has accelerated the adoption of connected surveillance which purpose is not only scruitizing employees’ work performance but also health, personal beliefs, and other private matters. With the implementation of connected workplaces, therefore, various ethical dilemmas arise. We highlight four emerging dilemmas, namely: (1) the good of the individual versus the good of the community, (2) ownership versus information disclosure, (3) justice versus mercy, and (4) truth versus loyalty. We discuss those ethical dilemmas for the case of corporate wellness programs which is frequently used as guise to introduce connected surveillance. Following a socio-technical perspective, we discuss ethical responses that focus on people involvement and technology assessment. We also highlight practical responses that can aim at mitigating the dilemmas

Being a data professional : give voice to value in a data driven society

Data Analytics needs to have ethical standards. There are numerous examples of why this is so, and the paper cites four particularly egregious ones. The paper offers both reasons why such standards are currently missing or inadequate, and how they might best be introduced, or refined. Some Codes of Ethics, such as the Software Engineering Code of Ethics and Professional Practice, the ACM and IFIP Codes of Ethics, and the Web Analyst’s Code of Ethics are discussed, compared, and contrasted. The paper offers a comparative study, to help inform the process of the drawing up of guidelines where it is best undertaken, within the profession itself

Organisational responses to the ethical issues of artificial intelligence

The ethics of artificial intelligence (AI) is a widely discussed topic. There are numerous initiatives that aim to develop the principles and guidance to ensure that the development, deployment and use of AI are ethically acceptable. What is generally unclear is how organisations that make use of AI understand and address these ethical issues in practice. While there is an abundance of conceptual work on AI ethics, empirical insights are rare and often anecdotal. This paper fills the gap in our current understanding of how organisations deal with AI ethics by presenting empirical findings collected using a set of ten case studies and providing an account of the cross-case analysis. The paper reviews the discussion of ethical issues of AI as well as mitigation strategies that have been proposed in the literature. Using this background, the cross-case analysis categorises the organisational responses that were observed in practice. The discussion shows that organisations are highly aware of the AI ethics debate and keen to engage with ethical issues proactively. However, they make use of only a relatively small subsection of the mitigation strategies proposed in the literature. These insights are of importance to organisations deploying or using AI, to the academic AI ethics debate, but maybe most valuable to policymakers involved in the current debate about suitable policy developments to address the ethical issues raised by AI

Estudio de las competencias genéricas de los Ingenieros de Sistemas y Computación de la Universidad Nacional de Colombia egresados del 2000 al 2010

Se realiza un estudio para revisar la valoración de las competencias genéricas (CG) por parte de los Ingenieros de Sistemas y Computación (ISC) de la Universidad Nacional de Colombia (UNC) egresados del año 2000 al 2010 para su éxito laboral. La identificación de las CG se basó en una revisión de la literatura científica sobre CG y otros estudios relacionados, y se aplicó la metodología basada en el framework DeSeCo que presenta una fundamentación teórica de la conceptualización de las competencias clave. Posteriormente se realizó una encuesta con 76 egresados de la UNC en la que valoraron 44 competencias identificadas en la literatura, mediante una escala de 1 – no necesaria hasta 5 – crítica para el desempeño laboral. Y finalmente se identificaron 6 factores mediante el método estadístico de análisis factorial lo cual permitió realizar el análisis del contexto del ISC y la comparación con otros estudios.Abstract: A study was carried out for the evaluation of the generic competencies (GC) of the Systems and Computing Engineers (SCE) of the Universidad Nacional de Colombia (UNC) graduates from the year 2000 to 2010 for their job success. The identification of the CG was based on a review of the scientific literature on CG and other related studies, and the methodology based on the DeSeCo framework that presents a theoretical foundation of the conceptualization of key competences was applied. Subsequently, a survey was conducted with 76 graduates of the UNC in which they assessed 44 competencies identified in the literature, using a scale of 1 - not necessary up to 5 - critical for job performance. And finally, six factors were identified through the statistical method of factorial analysis, which allowed the analysis of the SCE context and the comparison with other studies.Maestrí