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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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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Background: Research on maternity care often focuses on factors that prevent good communication and collaboration and rarely includes important stakeholders – parents – as co-researchers. To understand how professionals and parents in Dutch maternity care accomplish constructive communication and collaboration, we examined their interactions in the clinic, looking for “good practice”. Methods: We used the video-reflexive ethnographic method in 9 midwifery practices and 2 obstetric units. Findings: We conducted 16 meetings where participants reflected on video recordings of their clinical interactions. We found that informal strategies facilitate communication and collaboration: “talk work” – small talk and humour – and “work beyond words” – familiarity, use of sight, touch, sound, and non-verbal gestures. When using these strategies, participants noted that it is important to be sensitive to context, to the values and feelings of others, and to the timing of care. Our analysis of their ways of being sensitive shows that good communication and collaboration involves “paradoxical care”, e.g., concurrent acts of “regulated spontaneity” and “informal formalities”. Discussion: Acknowledging and reinforcing paradoxical care skills will help caregivers develop the competencies needed to address the changing demands of health care. The video-reflexive ethnographic method offers an innovative approach to studying everyday work, focusing on informal and implicit aspects of practice and providing a bottom up approach, integrating researchers, professionals and parents. Conclusion: Good communication and collaboration in maternity care involves “paradoxical care” requiring social sensitivity and self-reflection, skills that should be included as part of professional training.
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Artificially intelligent agents increasingly collaborate with humans in human-agent teams. Timely proactive sharing of relevant information within the team contributes to the overall team performance. This paper presents a machine learning approach to proactive communication in AI-agents using contextual factors. Proactive communication was learned in two consecutive experimental steps: (a) multi-agent team simulations to learn effective communicative behaviors, and (b) human-agent team experiments to refine communication suitable for a human team member. Results consist of proactive communication policies for communicating both beliefs and goals within human-agent teams. Agents learned to use minimal communication to improve team performance in simulation, while they learned more specific socially desirable behaviors in the human-agent team experiment
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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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Abstract The emergence of new technologies such as mp3 and music streaming, and the accompanying digital transformation of the music industry, have led to the shift and change of the entire music industry’s value chain. While music is increasingly being consumed through digital channels, the number of empirical studies, particularly in the field of music copyright in the digital music industry, is limited. Every year, rightsholders of musical works, valued 2.5 billion dollars, remain unknown. The objectives of this study are twofold: First to understand and describe the structure and process of the Dutch music copyright system including the most relevant actors within the system and their relations. Second to apply evolutionary economics approach and Values Sensitive Design method within the context of music copyright through positive-empirical perspective. For studies of technological change in existing markets, the evolutionary economics literature provides a coherent and evidence-based foundation. The actors are generally perceived as being different, for example with regard to their access to information, their ability to handle information, their capital and knowledge base (asymmetric information). Also their norms, values and roles can differ. Based on an analysis of documents and held expert interviews, we find that the collection and distribution of the music copyright money is still based on obsolete laws, neoclassical paradigm and legacy IT-system. Finally, we conclude that the rightsholders are heterogenous and have asymmetrical information and negotiating power. The outcomes of this study contribute to create a better understanding of impact of digitization of music copyright industry and empower the stakeholders to proceed from a more informed perspective on redesigning and applying the future music copyright system and pre-digital norms and values amongst actors.
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The current electroencephalography study investigated the relationship between the motor and (language) comprehension systems by simultaneously measuring mu and N400 effects. Specifically, we examined whether the pattern of motor activation elicited by verbs depends on the larger sentential context. A robust N400 congruence effect confirmed the contextual manipulation of action plausibility, a form of semantic congruency. Importantly, this study showed that: (1) Action verbs elicited more mu power decrease than non-action verbs when sentences described plausible actions. Action verbs thus elicited more motor activation than non-action verbs. (2) In contrast, when sentences described implausible actions, mu activity was present but the difference between the verb types was not observed. The increased processing associated with a larger N400 thus coincided with mu activity in sentences describing implausible actions. Altogether, context-dependent motor activation appears to play a functional role in deriving context-sensitive meaning.
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User experience (UX) research on pervasive technologies faces considerable challenges regarding today's mobile context-sensitive applications: evaluative field studies lack control, whereas lab studies miss the interaction with a dynamic context. This dilemma has inspired researchers to use virtual environments (VEs) to acquire control while offering the user a rich contextual experience. Although promising, these studies are mainly concerned with usability and the technical realization of their setup. Furthermore, previous setups leave room for improvement regarding the user's immersive experience. This paper contributes to this line of research by presenting a UX case study on mobile advertising with a novel CAVE-smartphone interface. We conducted two experiments in which we evaluated the intrusiveness of a mobile locationbased advertising app in a virtual supermarket. The results confirm our hypothesis that context-congruent ads lessen the experienced intrusiveness thereby demonstrating that our setup is capable of generating preliminary meaningful results with regards to UX. Furthermore, we share insights in conducting these studies.
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Post-training quantization reduces the computational demand of Large Language Models (LLMs) but can weaken some of their capabilities. Since LLM abilities emerge with scale, smaller LLMs are more sensitive to quantization. In this paper, we explore how quantization affects smaller LLMs’ ability to perform retrieval-augmented generation (RAG), specifically in longer contexts. We chose personalization for evaluation because it is a challenging domain to perform using RAG as it requires long-context reasoning over multiple documents. We compare the original FP16 and the quantized INT4 performance of multiple 7B and 8B LLMs on two tasks while progressively increasing the number of retrieved documents to test how quantized models fare against longer contexts. To better understand the effect of retrieval, we evaluate three retrieval models in our experiments. Our findings reveal that if a 7B LLM performs the task well, quantization does not impair its performance and long-context reasoning capabilities. We conclude that it is possible to utilize RAG with quantized smaller LLMs.
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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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