Investigating How Practitioners Use Human-AI Guidelines: A Case Study on the People + AI Guidebook
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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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- 2025Exploring the Innovation Opportunities for Pre-trained Models21 May 2025
- 2025AI LEGO: Scaffolding Cross-Functional Collaboration in Industrial Responsible AI Practices during Early Design Stages15 May 2025
- 2025Human-AI Interaction and User Satisfaction: Empirical Evidence from Online Reviews of AI Products23 Mar 2025
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9 more
- 2024Designing for Human-Agent Alignment: Understanding what humans want from their agents4 Apr 2024
- 2024Farsight: Fostering Responsible AI Awareness During AI Application Prototyping23 Feb 2024
- 2024Design Principles for Generative AI Applications25 Jan 2024
- 2024Interrogating AI: Characterizing Emergent Playful Interactions with ChatGPT16 Jan 2024
- 2023An HCAI Methodological Framework (HCAI-MF): Putting It Into Action to Enable Human-Centered AI27 Nov 2023
- 2023Exploring Links between Conversational Agent Design Challenges and Interdisciplinary Collaboration15 Nov 2023
- 2023The Value-Sensitive Conversational Agent Co-Design Framework18 Oct 2023
- 2023Investigating Practices and Opportunities for Cross-functional Collaboration around AI Fairness in Industry Practice10 Jun 2023
- 2023A Systematic Literature Review of Human-Centered, Ethical, and Responsible AI10 Feb 2023
- 2024Challenges in Human-Agent Communicationcited by 11
- 2023The Value-Sensitive Conversational Agent Co-Design Frameworkcited by 3
- 2023Exploring Links between Conversational Agent Design Challenges and Interdisciplinary Collaborationcited by 0
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- 2026Human-AI Coordination Zones: A Framework for Designing Human-in-the-Loop Experiences with Agentic AI1 May 2026
- 2024Challenges in Human-Agent Communication28 Nov 2024
- 2023Exploring Links between Conversational Agent Design Challenges and Interdisciplinary Collaboration15 Nov 2023
- 2023The Value-Sensitive Conversational Agent Co-Design Framework18 Oct 2023
- 2024Design Principles for Generative AI Applicationscited by 57
- 2024Farsight: Fostering Responsible AI Awareness During AI Application Prototypingcited by 28
- 2024Designing for Human-Agent Alignment: Understanding what humans want from their agentscited by 18
- 2023Investigating Practices and Opportunities for Cross-functional Collaboration around AI Fairness in Industry Practicecited by 15
- 2023A Systematic Literature Review of Human-Centered, Ethical, and Responsible AIcited by 5
- 2024Interrogating AI: Characterizing Emergent Playful Interactions with ChatGPTcited by 5
- 2024TwIPS: A Large Language Model Powered Texting Application to Simplify Conversational Nuances for Autistic Userscited by 5
- 2025Stakeholder Participation for Responsible AI Development: Disconnects Between Guidance and Current Practicecited by 5
- 2023An HCAI Methodological Framework (HCAI-MF): Putting It Into Action to Enable Human-Centered AIcited by 3
- 2025Talking About the Assumption in the Roomcited by 2
- 2025Human-AI Interaction and User Satisfaction: Empirical Evidence from Online Reviews of AI Productscited by 1
- 2025AI LEGO: Scaffolding Cross-Functional Collaboration in Industrial Responsible AI Practices during Early Design Stagescited by 1
12 most cited of 17 All 17 (JSON)
- 2026What We Know about Responsible AI Practices in Industry: A Half Decade of Empirical Research11 Aug 2026
- 2026A Checklist for Trustworthy, Safe, and User-Friendly Mental Health Chatbots21 Jan 2026
- 2025Breaking the Curse of Knowledge: Designing Personalized Jargon Support for Real-Time Online Meetings13 Aug 2025
- 2025Define-ML: An Approach to Ideate Machine Learning-Enabled Systems25 Jun 2025
- 2025Stakeholder Participation for Responsible AI Development: Disconnects Between Guidance and Current Practice11 Jun 2025
- 2025Exploring the Innovation Opportunities for Pre-trained Models21 May 2025
- 2025AI LEGO: Scaffolding Cross-Functional Collaboration in Industrial Responsible AI Practices during Early Design Stages15 May 2025
- 2025Human-AI Interaction and User Satisfaction: Empirical Evidence from Online Reviews of AI Products23 Mar 2025
- 2025Talking About the Assumption in the Room18 Feb 2025
- 2024TwIPS: A Large Language Model Powered Texting Application to Simplify Conversational Nuances for Autistic Users25 Jul 2024
- 2024Designing for Human-Agent Alignment: Understanding what humans want from their agents4 Apr 2024
- 2024Farsight: Fostering Responsible AI Awareness During AI Application Prototyping23 Feb 2024
12 newest of 17 All 17 (JSON)