mlsanityData to 7 Oct 2026

Investigating How Practitioners Use Human-AI Guidelines: A Case Study on the People + AI Guidebook

arXiv 2301.12243 ↗First posted 28 Jan 2023cs.HCcited by 21

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Abstract (arXiv)

Artificial intelligence (AI) presents new challenges for the user experience (UX) of products and services. Recently, practitioner-facing resources and design guidelines have become available to ease some of these challenges. However, little research has investigated if and how these guidelines are used, and how they impact practice. In this paper, we investigated how industry practitioners use the People + AI Guidebook. We conducted interviews with 31 practitioners (i.e., designers, product managers) to understand how they use human-AI guidelines when designing AI-enabled products. Our findings revealed that practitioners use the guidebook not only for addressing AI's design challenges, but also for education, cross-functional communication, and for developing internal resources. We uncovered that practitioners desire more support for early phase ideation and problem formulation to avoid AI product failures. We discuss the implications for future resources aiming to help practitioners in designing AI products.

Key facts. Cited by 21 papers in the map (data through 7 Oct 2026). First posted on arXiv 28 Jan 2023.

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Citing papers per year: 2023: 5; 2024: 6; 2025: 7; 2026: 3.

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  2. 2024Farsight: Fostering Responsible AI Awareness During AI Application Prototypingcited by 28
  3. 2024Designing for Human-Agent Alignment: Understanding what humans want from their agentscited by 18
  4. 2023Investigating Practices and Opportunities for Cross-functional Collaboration around AI Fairness in Industry Practicecited by 15
  5. 2024Challenges in Human-Agent Communicationcited by 11
  6. 2023A Systematic Literature Review of Human-Centered, Ethical, and Responsible AIcited by 5
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  10. 2023The Value-Sensitive Conversational Agent Co-Design Frameworkcited by 3
  11. 2023An HCAI Methodological Framework (HCAI-MF): Putting It Into Action to Enable Human-Centered AIcited by 3
  12. 2025Talking About the Assumption in the Roomcited by 2
9 more
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  2. 2025AI LEGO: Scaffolding Cross-Functional Collaboration in Industrial Responsible AI Practices during Early Design Stagescited by 1
  3. 2026A Checklist for Trustworthy, Safe, and User-Friendly Mental Health Chatbotscited by 1
  4. 2023Exploring Links between Conversational Agent Design Challenges and Interdisciplinary Collaborationcited by 0
  5. 2025Exploring the Innovation Opportunities for Pre-trained Modelscited by 0
  6. 2025Define-ML: An Approach to Ideate Machine Learning-Enabled Systemscited by 0
  7. 2025Breaking the Curse of Knowledge: Designing Personalized Jargon Support for Real-Time Online Meetingscited by 0
  8. 2026Human-AI Coordination Zones: A Framework for Designing Human-in-the-Loop Experiences with Agentic AIcited by 0
  9. 2026What We Know about Responsible AI Practices in Industry: A Half Decade of Empirical Researchcited by 0