Imaginative Value Sensitive Design: Using Moral Imagination Theory to Inform Responsible Technology Design
Science and Engineering Ethics 26 (2):575-595 (2020)
AbstractSafe-by-Design (SBD) frameworks for the development of emerging technologies have become an ever more popular means by which scholars argue that transformative emerging technologies can safely incorporate human values. One such popular SBD methodology is called Value Sensitive Design (VSD). A central tenet of this design methodology is to investigate stakeholder values and design those values into technologies during early stage research and development (R&D). To accomplish this, the VSD framework mandates that designers consult the philosophical and ethical literature to best determine how to weigh moral trade-offs. However, the VSD framework also concedes the universalism of moral values, particularly the values of freedom, autonomy, equality trust and privacy justice. This paper argues that the VSD methodology, particularly applied to nano-bio-info-cogno (NBIC) technologies, has an insufficient grounding for the determination of moral values. As such, an exploration of the value-investigations of VSD are deconstructed to illustrate both its strengths and weaknesses. This paper also provides possible modalities for the strengthening of the VSD methodology, particularly through the application of moral imagination and how moral imagination exceed the boundaries of moral intuitions in the development of novel technologies.
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References found in this work
The Embodied Mind: Cognitive Science and Human Experience.Francisco J. Varela, Evan Thompson & Eleanor Rosch - 1991 - MIT Press.
The Body in the Mind: The Bodily Basis of Meaning, Imagination, and Reason.Mark Johnson - 1987 - University of Chicago Press.
Citations of this work
Refining Value Sensitive Design: A (Capability-Based) Procedural Ethics Approach to Technological Design for Well-Being.Alessandra Cenci & Dylan Cawthorne - 2020 - Science and Engineering Ethics 26 (5):2629-2662.
AWOSE - A Process Model for Incorporating Ethical Analyses in Agile Systems Engineering.Benjamin Strenge & Thomas Schack - 2020 - Science and Engineering Ethics 26 (2):851-870.
Beyond Bias and Discrimination: Redefining the AI Ethics Principle of Fairness in Healthcare Machine-Learning Algorithms.Benedetta Giovanola & Simona Tiribelli - forthcoming - AI and Society.
Values, Imagination, and Praxis : Towards a Value Sensitive Future with Technology. [REVIEW]Steven Umbrello - 2020 - Science and Engineering Ethics 26 (1):495-499.
Putting Values in Context.Mostafa Saket - 2022 - Journal of Ethics and Emerging Technologies 31 (2):1-9.
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