AI Bibliography
AI Bibliography |
|
 |
 |
 |
|
Liao, Q. V., Gruen, D., & Miller, S. 2020, Questioning the ai: Informing design practices for explainable ai user experiences. Paper presented at Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. |
| Resource type: Proceedings Article BibTeX citation key: Liao2020 View all bibliographic details  |
Categories: Artificial Intelligence, Cognitive Science, Computer Science, Data Sciences, General Subcategories: Deep learning, Machine intelligence, Machine learning, Psychology of human-AI interaction Creators: Gruen, Liao, Miller Publisher: Collection: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems |
| Attachments |
| Abstract |
|
A surge of interest in explainable AI (XAI) has led to a vast collection of algorithmic work on the topic. While many recognize the necessity to incorporate explainability features in AI systems, how to address real-world user needs for understanding AI remains an open question. By interviewing 20 UX and design practitioners working on various AI products, we seek to identify gaps between the current XAI algorithmic work and practices to create explainable AI products. To do so, we develop an algorithm-informed XAI question bank in which user needs for explainability are represented as prototypical questions users might ask about the AI, and use it as a study probe. Our work contributes insights into the design space of XAI, informs efforts to support design practices in this space, and identifies opportunities for future XAI work. We also provide an extended XAI question bank and discuss how it can be used for creating user-centered XAI.
|