scholarly journals A Value Sensitive Design Perspective on AI Biases

2022 ◽  
Author(s):  
Isabel Gan ◽  
Sara Moussawi
2015 ◽  
Vol 1 (1) ◽  
pp. 4
Author(s):  
Åke Walldius ◽  
Jan Gulliksen ◽  
Yngve Sundblad

<div class="page" title="Page 1"><div class="layoutArea"><div class="column"><p><span>The goal of the UsersAward (UA) programme is to develop and maintain a strategy for enhancing the quality of workplace software through on-going user-driven quality assessment. Key activities are development of sets of quality criteria, as the U</span><span>SER </span><span>C</span><span>ERTIFIED </span><span>2002 and 2006 instruments, and performing large domain specific user satisfaction surveys building on these quality criteria. In 2005 we performed a first analysis of the values that inform the criteria and procedure making up the 2002 instrument, using the Value Sensitive Design methodology. This paper is a follow-up of that study. We report on new types of stakeholders having engaged with the UA programme and reflect on how the conceptual considerations and explicit values of the programme have shifted as a consequence. </span></p></div></div></div>


2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Ralph Vacca

Value-sensitive design is an approach that seeks to explicitly center the values of design stakeholders. In doing so, the method provides a rich analytical backdrop in which to explore how participants make sense of values and embody values in their designs. In this study, I explore the broad question of how a value-sensitive design approach can be used to surface, address, and possibly reconcile the similar and different culturally informed ways we make sense of being feminist fathers. Two groups of self-proclaimed feminist fathers, white non-Latinx and nonwhite Latinx, engaged in a value-sensitive design approach to designing technology to support their conceptualizations of feminist fatherhood. Four themes around differences between the groups and the kinds of reflections the participants engaged in are summarized. Based on our findings, I contribute suggestions for adapting value-sensitive design approaches to scaffold certain kinds of reflection around authenticity and interpretation in ways that are more grounded in themes of nondominance.


2020 ◽  
Vol 42 ◽  
pp. 219-226 ◽  
Author(s):  
Lucia Gazzaneo ◽  
Antonio Padovano ◽  
Steven Umbrello

2019 ◽  
Vol 3 (1) ◽  
pp. 5 ◽  
Author(s):  
Steven Umbrello

This paper argues that the Value Sensitive Design (VSD) methodology provides a principled approach to embedding common values into AI systems both early and throughout the design process. To do so, it draws on an important case study: the evidence and final report of the UK Select Committee on Artificial Intelligence. This empirical investigation shows that the different and often disparate stakeholder groups that are implicated in AI design and use share some common values that can be used to further strengthen design coordination efforts. VSD is shown to be both able to distill these common values as well as provide a framework for stakeholder coordination.


Author(s):  
Majid Dadgar ◽  
K. D. Joshi

This chapter advocates the use of a value-sensitive design (VSD) approach toward deriving patient intelligence by illustrating that the insights provided by the healthcare data that captures patients' concerns, needs, and desires—known as values—provide more sustainable care. Authors examine three cases extracted from top information systems (IS) peer-reviewed journals in which medical data is collected and analyzed and in which intelligence is derived through a VSD framework. VSD is a three-part methodology that comprises conceptual, empirical, and technical investigations. This chapter investigates the value sensitivity of the following key activities and tasks that result in intelligence from data: data collection, data analysis, and data reporting.


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