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This paper aims to critically reassess established approaches to the teaching and analysis of computer ethics, and to propose a revised methodology, drawing on the practical experience of teaching undergraduates in a culturally diverse, international learning environment.

Theoretical in scope, reviewing concepts and methods in the existing literature and developing an alternative inter-disciplinary and multi-dimensional framework.

Ethical analysis can benefit from broader, inter-disciplinary perspectives that take into account the social and economic context in which information and communication technologies (ICTs) are designed, deployed and used, and the complex forces that drive their development. A richer analysis of this context enables a better understanding of the specific properties and applications of ICTs which, in turn, foreground particular ethical issues. This can result in a more self-reflexive and rounded appreciation of the ethical, legal and professional issues invoked by ICTs.

The paper develops a revised, flexible methodology for doing ethics which can be applied to any case study or domain of application. It outlines some of the key questions and major ethical principles that are generated by ICTs. The paper has pedagogical value for both teachers and students of computer ethics, but has relevance also for information technology professionals and practitioners.

The purpose of this paper is to set out a structured meta‐methodology, named DIODE, for the ethical assessment of new and emerging technologies. DIODE has been designed by a mixture of academics, governmental people and commercial practitioners. It is designed to help diverse organisations and individuals conduct ethical assessments of new and emerging technologies.

A framework discussion paper was developed for consultation to ensure that DIODE addresses fundamental ethical concerns, has appropriate and manageable scope and is comprehensive in its ethical compass. The resulting DIODE meta‐methodology uses flowcharts and templates, encompassing the use of diverse tools and techniques.

There are two different angles for the ethical assessment of new technologies; a strategic/abstract angle and a project/application specific angle. DIODE includes two channels to accommodate this distinction. Early stage testing yielded positive feedback and mostly favourable comment. Additional guidance materials are being developed in response to the feedback.

Without training and guidance, it is difficult for technologists to take ethical concerns into account during the development and deployment of new technologies. DIODE can provide that training and guidance through a practical meta‐methodology which should help ICT professionals, policy makers and academics.

There is very little structured methodology material available on the ethical assessment of new technologies. The depth and sophistication contained in DIODE is therefore believed to be unique. DIODE provides practical help while remaining rooted in the philosophical and theoretical concepts of ethics.

The purpose of this paper is to provide a conceptual overview of the process of unsolicited commercial e‐mail (UCE), propose a typology of UCE, and delineate key stakeholders of UCE, their roles and potential responses through a stakeholder analysis.

Based on the extant literature, this paper provides a conceptualization of the UCE process, delineating specific types of UCE. It uses stakeholder analysis to identify key members in the UCE process and the potential roles to be played by them in combating UCE.

This paper proposes a four‐way typology of the UCE process, identifies key stakeholders, and also mechanisms for tackling UCE.

Given the limited empirical research on this topic, this paper is exploratory in nature, integrating concepts from marketing and e‐commerce research streams. It will provide a solid conceptual foundation for future empirical research on UCE.

This paper will be a useful resource for customers, Internet merchants, policy makers, direct marketing associations, agencies and consumer awareness groups that are working on Internet security, privacy and anti‐spam issues.

This paper addresses an important and timely issue, filling an important gap in current research on e‐mail marketing. It provides conceptual foundations on UCE, and deploys stakeholder analysis to suggest useful guidelines for practice.

This paper aims to introduce the concept of ETHICOMP as “community mentor” – the role that the ETHICOMP conference plays outside the standard conference fare, in which it nurtures and supports up-and-coming researchers in the field of computer ethics.

This paper uses an auto-ethnographic methodology to reflexively explore the author’s career from PhD student to early career researcher spanning the years 2005-2013, and how the ETHICOMP community has played a significant role as a mentor in her life. The literature on mentorship is discussed, particularly focussing on the importance of mentorship for women in philosophy-related academic careers, and criteria for successful mentorship are measured against the ETHICOMP “community mentorship”. Additionally, some key philosophical concepts are introduced and reflected upon.

The paper produces recommendations for other philosophical communities wishing to grow their mentorship capabilities through communities around conferences.

This paper sheds new light on the concepts of mentorship and the practical application of mentorship within an academic community. It also provides an account of the value of the ETHICOMP conference series that is beyond the usual academic output.

Digital transformation (DT) leverages digital technologies to change current processes and introduce new processes in any organisation’s business model, customer/user experience and operational processes (DT pillars). Artificial intelligence (AI) plays a significant role in achieving DT. As DT is touching each sphere of humanity, AI led DT is raising many fundamental questions. These questions raise concerns for the systems deployed, how they should behave, what risks they carry, the monitoring and evaluation control we have in hand, etc. These issues call for the need to integrate ethics in AI led DT. The purpose of this study is to develop an “AI led ethical digital transformation framework”.

Based on the literature survey, various existing business ethics decision-making models were synthesised. The authors mapped essential characteristics such as intensity and the individual, organisational and opportunity factors of ethics models with the proposed AI led ethical DT. The DT framework is evaluated using a thematic analysis of 23 expert interviews with relevant AI ethics personas from industry and society. The qualitative data of the interviews and opinion data has been analysed using MAXQDA software.

The authors have explored how AI can drive the ethical DT framework and have identified the core constituents of developing an AI led ethical DT framework. Backed by established ethical theories, the paper presents how DT pillars are related and sequenced to ethical factors. This research provides the potential to examine theoretically sequenced ethical factors with practical DT pillars.

The study establishes deduced and induced ethical value codes based on thematic analysis to develop guidelines for the pursuit of ethical DT. The authors identify four unique induced themes, namely, corporate social responsibility, perceived value, standard benchmarking and learning willingness. The comprehensive findings of this research, supported by a robust theoretical background, have substantial implications for academic research and corporate applicability. The proposed AI led ethical DT framework is unique and can be used for integrated social, technological and economic ethical research.