Guidelines for Integrating Value Sensitive Design in Responsible AI Toolkits
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Abstract (arXiv)
Value Sensitive Design (VSD) is a framework for integrating human values throughout the technology design process. In parallel, Responsible AI (RAI) advocates for the development of systems aligning with ethical values, such as fairness and transparency. In this study, we posit that a VSD approach is not only compatible, but also advantageous to the development of RAI toolkits. To empirically assess this hypothesis, we conducted four workshops involving 17 early-career AI researchers. Our aim was to establish links between VSD and RAI values while examining how existing toolkits incorporate VSD principles in their design. Our findings show that collaborative and educational design features within these toolkits, including illustrative examples and open-ended cues, facilitate an understanding of human and ethical values, and empower researchers to incorporate values into AI systems. Drawing on these insights, we formulated six design guidelines for integrating VSD values into the development of RAI toolkits.
Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). First posted on arXiv 29 Feb 2024.
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Citing papers per year: 2024: 1; 2025: 6; 2026: 3.
10 papers.
- 2025AI Chatbots for Mental Health: Values and Harms from Lived Experiences of Depressioncited by 13
- 2024Co-designing an AI Impact Assessment Report Template with AI Practitioners and AI Compliance Expertscited by 10
- 2025Talking About the Assumption in the Roomcited by 2
- 2026Agent-Supported Foresight for AI Systemic Risks: AI Agents for Breadth, Experts for Judgmentcited by 2
- 2025ValuePilot: A Two-Phase Framework for Value-Driven Decision-Makingcited by 1
- 2026From Reflection to Repair: A Scoping Review of Dataset Documentation Toolscited by 1
- 2025Framework, Standards, Applications and Best practices of Responsible AI : A Comprehensive Surveycited by 0
- 2025Lived Experience in Dialogue: Co-designing Personalization in Large Language Models to Support Youth Mental Well-beingcited by 0
- 2025ValuePilot: A Two-Phase Framework for Value-Driven Decision-Makingcited by 0
- 2026Value-Sensitive AI for Prayer: Balancing the Agencies Between Human and AI Agents in Spiritual Contextcited by 0
- 2026Value-Sensitive AI for Prayer: Balancing the Agencies Between Human and AI Agents in Spiritual Context28 Apr 2026
- 2026From Reflection to Repair: A Scoping Review of Dataset Documentation Tools17 Feb 2026
- 2026Agent-Supported Foresight for AI Systemic Risks: AI Agents for Breadth, Experts for Judgment9 Feb 2026
- 2025ValuePilot: A Two-Phase Framework for Value-Driven Decision-Making9 Dec 2025
- 2025Lived Experience in Dialogue: Co-designing Personalization in Large Language Models to Support Youth Mental Well-being7 Nov 2025
- 2025AI Chatbots for Mental Health: Values and Harms from Lived Experiences of Depression26 Apr 2025
- 2025Framework, Standards, Applications and Best practices of Responsible AI : A Comprehensive Survey18 Apr 2025
- 2025ValuePilot: A Two-Phase Framework for Value-Driven Decision-Making6 Mar 2025
- 2025Talking About the Assumption in the Room18 Feb 2025
- 2024Co-designing an AI Impact Assessment Report Template with AI Practitioners and AI Compliance Experts24 Jul 2024