Working with affective computing:Exploring UK public perceptions of AI enabled workplace surveillance

This paper explores public perceptions around the role of affective computing in the workplace. It uses a series of design fictions with 46 UK based participants, unpacking their perspectives on the advantages and disadvantages of tracking the emotional state of workers. The scenario focuses on mundane uses of biometric sensing in a sales environment, and how this could shape management approaches with workers. The paper structure is as follows: section 1 provides a brief introduction; section 2 provides an overview of the innovative design fiction methodology; section 3 explores wider shifts around IT in the workplace; section 4 provides some legal analysis exploring emergence of AI in the workplace; and section 5 presents themes from the study data. The latter section includes discussion on concerns around functionality and accuracy of affective computing systems, and their impacts on surveillance, human agency, and worker/management interactions

Technical Debt is an Ethical Issue

We introduce the problem of technical debt, with particular focus on critical infrastructure, and put forward our view that this is a digital ethics issue. We propose that the software engineering process must adapt its current notion of technical debt – focusing on technical costs – to include the potential cost to society if the technical debt is not addressed, and the cost of analysing, modelling and understanding this ethical debt. Finally, we provide an overview of the development of educational material – based on a collection of technical debt case studies - in order to teach about technical debt and its ethical implication

“Be a Pattern for the World”: The Development of a Dark Patterns Detection Tool to Prevent Online User Loss

Dark Patterns are designed to trick users into sharing more information or spending more money than they had intended to do, by configuring online interactions to confuse or add pressure to the users. They are highly varied in their form, and are therefore difficult to classify and detect. Therefore, this research is designed to develop a framework for the automated detection of potential instances of web-based dark patterns, and from there to develop a software tool that will provide a highly useful defensive tool that helps detect and highlight these patterns

Minding the Gap: Computing Ethics and the Political Economy of Big Tech

In 1988 Michael Mahoney wrote that “[w]hat is truly revolutionary about the computer will become clear only when computing acquires a proper history, one that ties it to other technologies and thus uncovers the precedents that make its innovations significant” (Mahoney, 1988). Today, over thirty years after this quote was written, we are living right in the middle of the information age and computing technology is constantly transforming modern living in revolutionary ways and in such a high degree that is giving rise to many ethical considerations, dilemmas, and social disruption. To explore the myriad of issues associated with the ethical challenges of computers using the lens of political economy it is important to explore the history and development of computer technology

Proceedings of the ETHICOMP 2022: Effectiveness of ICT ethics - How do we help solve ethical problems in the field of ICT?

This Ethicomp is again organized in exceptional times. Two previous ones were forced to turn to online conferences because of Covid-pandemic but it was decided that this one would be the physical one or cancelled as the need for real encounters and discussion between people are essential part of doing philosophy. We need possibility to meet people face to face and even part of the presentation were held distance–because of insurmountable problems of arriving by some authors– we manage to have real, physical conference, even the number of participants was smaller than previous conferences.The need of Ethicomp is underlined by the way world nowadays is portrayed for us. The truthfulness and argumentation seem to be replaced by lies, strategic games, hate and disrespect of humanity in personal, societal and even global communication. EThicomp is many times referred as community and therefore it is important that we as community do protect what Ethicomp stands for. We need to seek for goodness and be able to give argumentation what that goodness is. This lead us towards Habermass communicative action and Discourse ethics which encourages open and respectful discourse between people (see eg.Habermass 1984;1987;1996). However, this does not mean that we need to accept everything and everybody. We need to defend truthfulness, equality and demand those from others too. There are situations when some people should be removed from discussions if they neglect the demand for discourse. Because by giving voice for claims that have no respect for argumentation, lacks the respect of human dignity or are not ready for mutual understanding (or at least aiming to see possibility for it) we cannot have meaningful communication. This is visible in communication of all levels today and it should not be accepted, but resisted. It is duty of us all.</p

Understanding Well-being Data

‘Following the data’ is a now-familiar phrase in Covid-19 policy communications. Well-being data are pivotal in decisions that affect our life chances, livelihoods and quality of life. They are increasingly valuable to companies with their eyes on profit, organisations looking to make a social impact, and governments focussed on societal problems. This book follows well-being data back centuries, showing they have long been used to track the health and wealth of society. It questions assumptions that have underpinned over 200 years of social science, statistical and policy work. Understanding Well-being Data is a readable, introductory book with real-life examples. Understanding the contexts of data and decision-making are critical for policy, practice and research that aims to do good, or at least avoid harm. Through its comprehensive survey and critical lens, this book provides tools to promote better understanding of the power and potential of well-being data for society, and the limits of their application