A systematic review of almost three decades of value sensitive design (VSD): what happened to the technical investigations?

Gerdes, Anne; Frandsen, Tove Faber

doi:10.1007/s10676-023-09700-2

Ethics Inf Technol

2023

DOI: 10.1007/s10676-023-09700-2

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A systematic review of almost three decades of value sensitive design (VSD): what happened to the technical investigations?

Anne Gerdes

Tove Faber Frandsen

Abstract: This article presents a systematic literature review documenting how technical investigations have been adapted in value sensitive design (VSD) studies from 1996 to 2023. We present a systematic review, including theoretical and applied studies that either discuss or conduct technical investigations in VSD. This systematic review contributes to the VSD community when seeking to further refine the methodological framework for carrying out technical investigations in VSD.

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Cited by 6 publications

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AI ethics unwrapped: an empirical investigation of ethical principles in collaborative ideation processes

Cociancig,

Heuer,

Breiter

2024

AI Ethics

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Motivated by ongoing criticism of the practical operationalization of ethical principles in artificial intelligence (AI) development, this study targets the ethical practice of AI developers in Germany. We focus on design as a key technological practice and developers as designers of AI-based systems when we investigate the socially, historically, and contextually influenced practice of AI ethics in the design process. We embed our methodology in value sensitive design (VSD), conduct design thinking workshops prototyping AI tools for hypothetical use cases, and ground our analysis on established ethical guidelines for AI. The results of this study reveal not only awareness of ethical principles in developers, more importantly, a strong influence of ethics on design decisions. Developers adapt their designs with technical interventions in favor of those using and being affected by their solutions. Our contribution is threefold: we establish a fine-grained categorization system of ethical principles based on AI ethics guidelines and VSD. We corroborate previous empirical research examining the prompted and self-reported influence and prioritization of ethical principles. Finally, we synthesize our findings with tangible design recommendations for AI ethics by design. We focus on recommendations for human involvement, privacy, and non-discrimination: encourage participatory AI design and avoid end-to-end automation in cases where humans are impacted; empower developers to integrate technical interventions from the onset of the design process to establish AI privacy by design; and support developers in emphasizing non-discriminatory AI, especially in contexts historically associated with discrimination.

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AI ethics unwrapped: an empirical investigation of ethical principles in collaborative ideation processes

Cociancig,

Heuer,

Breiter

2024

AI Ethics

View full text Add to dashboard Cite

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Key value indicators: A framework for values-driven next-generation ICT solutions

Wikström,

Bledow,

Matinmikko-Blue

et al. 2024

Telecommunications Policy

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Unlocking the power of socially assistive robotic nurses in hospitals through innovative living lab methodology

Arioz,

Bratina,

Mlakar

et al. 2024

Health Informatics J

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Objectives: Pilot 5 utilizes AI and robotics to develop a robotic nurse assisting hospital staff in response to workforce shortages and rising care demands due to an aging population. This project aims to optimize resources, reduce errors, and improve patient satisfaction through personalized care. Methods: The Living Lab approach was implemented to split the study into sprints. The first split involves working with project partners and stakeholders to define the problem, brainstorm functionalities, and identify limitations (24 participants). The second split focuses on further requirement gathering, exploring real-world use cases, and considering ethical and privacy concerns (51 participants). Results: The project used iterative development cycles (5-8 months) to continuously improve the solution. Surveys revealed high satisfaction rates, with average scores of 4.0 and 3.6 for Sprints 1 and 2, respectively. Similarly, a team morale survey indicated a positive trend, with average scores of 7.6 and 8.18 for Sprints 1 and 2, respectively. Conclusion: Pilot 5 offers a promising solution to the evolving needs of modern hospitals. This study explores the integration of a social robotic system into nursing care to enhance quality and emphasizes stakeholder engagement, participatory design, and user-centered approaches in AI healthcare solutions.

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A systematic review of almost three decades of value sensitive design (VSD): what happened to the technical investigations?

Cited by 6 publications

References 51 publications

AI ethics unwrapped: an empirical investigation of ethical principles in collaborative ideation processes

AI ethics unwrapped: an empirical investigation of ethical principles in collaborative ideation processes

Key value indicators: A framework for values-driven next-generation ICT solutions

Unlocking the power of socially assistive robotic nurses in hospitals through innovative living lab methodology

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