Digital innovation in education – as in any other sector – is not only about developing and implementing novel ideas, but also about having these ideas effectively used as well as widely accepted and adopted, so that many students can benefit from innovations improving education. Effectiveness, transferability and scalability cannot be added afterwards; it must be integrated from the start in the design, development and implementation processes, as is proposed in the movement towards evidence-informed practice (EIP). The impact an educational innovation has on the values of various stakeholders is often overlooked. Value Sensitive Design (VSD) is an approach to integrate values in technological design. In this paper we discuss how EIP and VSD may be combined into an integrated approach to digital innovation in education, which we call value-informed innovation. This approach not only considers educational effectiveness, but also incorporates the innovation’s impact on human values, its scalability and transferability to other contexts. We illustrate the integrated approach with an example case of an educational innovation involving digital peer feedback.
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This paper aims to address the research gap in ethical design frameworks for self-sovereign identity (SSI) solutions. We present a case study of value sensitive design (VSD) conceptual investigation applied in the context of SSI-based solutions for the sharing of medical credentials uNLock. We evaluate the applicability and quality of VSD application on the basis of 5 criteria. We validate these findings by comparing the results of the original report with the studies presenting empirically informed insights from the deployment of SSI solutions for the presentation of medical credentials. We identify a problem of “value branching” particular to SSI solutions that can lead to the overinflation of the set of relevant values. We outline the affordances and limitations of the conceptual VSD investigation in our case study. We further reflect on the limits of general SSI principles and argue that the ethical design of SSI solutions always requires context-specific evaluative frameworks.
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In projects concerning big data, ethical questions need to be answered during the design process. In this paper the Value Sensitive Design method is applied in the context of data-driven health services aimed at disease prevention. It shows how Value Sensitive Design, with the use of a moral dialogue and an ethical matrix, can support the identifcation and operationalization of moral values that are at stake in the design of such services. It also shows that using this method can support meeting the requirements of the General Data Protection Regulation.
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The growing prevalence of AI systems in society, has also prompted a growth of AI systems in the public sector. There are however ethical concerns over the impact of AI on society and how this technology can impact public values. Previous works do not connect public values and the development of AI. To address this, a method is required to ensure that developers and public servants can signal possible ethical implications of an AI system and are assisted in creating systems that adhere to public values. Using the Research pathway model and Value Sensitive Design, we will develop a toolbox to assist in these challenges and gain insight into how public values can be embedded throughout the development of AI systems.
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There is a need for modernizing the Dutch collective management system of music copyright to match the rapidly changing digital music industry. Focusing on the often-neglected human values aspect, this study, part of a larger PhD research, examines the value preferences of music rights holders: creators and publishers. It aims to advise on technological redesign for music copyright management system and contribute to discussions on equitable collective management. Building upon prior research, which comprehensively analyzed the Dutch music copyright system and identified key stakeholders, this paper analyses 24 interviews with those key stakeholders to identify their values and potential value tensions. Initial findings establish a set of shared values, crucial for the next phases of the study –values operationalization. This research makes a academic contribution by integrating the Value Sensitive Design (VSD) approach with Distributive Justice Theory, enriching VSD's application and enhancing our understanding of the Economics of Collective Management (ECM).
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This white paper is presented by the Ethics Working Group of the uNLock Consortium This white paper presents findings of the Ethics Working Group, from the conceptual phase of investigation into the ethical issues of the uNLock solution, providing identity management solutions for sharing and presentation of medical COVID-19 credentials (test results) in the context of healthcare institutions. We have provided an outline of direct and indirect stakeholders for the uNLock solution and mapped values, benefits, and harms to the respective stakeholders. The resulting conceptual framework has allowed us to lay down key norms and principles of Self Sovereign Identity (SSI) in the specific context of uNLock solution. We hope that adherence to these norms and principles could serve as a groundwork for anticipatory mitigation of moral risk and hazards stemming from the implementation of uNLock solution and similar solutions. Our findings suggest that even early stage of conceptual investigation in the framework of Value Sensitive Design (VSD), reveals numerous ethical issues. The proposed implementation of the uNLock app in the healthcare context did not proceed further than prototype stage, thus our investigation was limited to the conceptual stage, and did not involve the practical implementation of VSD method involving translation of norms and values into engineering requirements. Nevertheless, our findings suggest that the implementation of VSD method in this context is a promising approach that helps to identify moral conflicts and risks at a very early stage of technological development of SSI solutions. Furthermore, we would like to stress that in the light of our findings it became painfully obvious that hasty implementation of medical credentials system without thorough ethical assessment, risks creating more ethical issues rather than addressing existing ones.
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This paper introduces the design principle of legibility as means to examine the epistemic and ethical conditions of sensing technologies. Emerging sensing technologies create new possibilities regarding what to measure, as well as how to analyze, interpret, and communicate said measurements. In doing so, they create ethical challenges for designers to navigate, specifically how the interpretation and communication of complex data affect moral values such as (user) autonomy. Contemporary sensing technologies require layers of mediation and exposition to render what they sense as intelligible and constructive to the end user, which is a value-laden design act. Legibility is positioned as both an evaluative lens and a design criterion, making it complimentary to existing frameworks such as value sensitive design. To concretize the notion of legibility, and understand how it could be utilized in both evaluative and anticipatory contexts, the case study of a vest embedded with sensors and an accompanying app for patients with chronic obstructive pulmonary disease is analyzed.
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Addressing and integrating human values into AI design and development processes in research and practice can be dicult, and a clear methodological approach can clarify issues of both theory and prac- tice. One such approach is Value Sensitive Design (VSD), an established theory for addressing issues of values in a systematic and principled fash- ion in the design of information technology. However, it is unclear how VSD is translated into current design practices and whether it has been integrated into existing methodologies. In this paper, we investigated whether and to what extent VSD has passed down into design method- ologies used in practice. We found that the actual application of VSD in methodologies is limited, but that in the last few years, steps have been taken to bridge the gap between theory and practice.
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In this paper, we explore the design of web-based advice robots to enhance users' confidence in acting upon the provided advice. Drawing from research on algorithm acceptance and explainable AI, we hypothesise four design principles that may encourage interactivity and exploration, thus fostering users' confidence to act. Through a value-oriented prototype experiment and value-oriented semi-structured interviews, we tested these principles, confirming three of them and identifying an additional principle. The four resulting principles: (1) put context questions and resulting advice on one page and allow live, iterative exploration, (2) use action or change oriented questions to adjust the input parameters, (3) actively offer alternative scenarios based on counterfactuals, and (4) show all options instead of only the recommended one(s), appear to contribute to the values of agency and trust. Our study integrates the Design Science Research approach with a Value Sensitive Design approach.
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Higher educational institutions incorporate projects into their curricula, in which students, together with educators, researchers and professionals from practice, try to find solutions for real, societal problems, to develop relevant skills. Because such solutions are increasingly digital with high impact on society, ethical responsibility is an important part of these skills. In this study, we analyze two cases of digital innovation projects in higher education in which the concept of the Ethical Matrix is adapted and integrated in a Value Sensitive Design approach and applied by educators (case 1) and by students (case 2). We find that an adapted version of the Ethical Matrix supports educators and students in taking values of different types of stakeholders into account which leads to different design choices.
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