Human-centered Explainable AI: Towards a Reflective Sociotechnical Approach

• URL: http://arxiv.org/abs/2002.01092v2
• Date: Wed, 5 Feb 2020 05:33:14 GMT
• Title: Human-centered Explainable AI: Towards a Reflective Sociotechnical Approach
• Authors: Upol Ehsan and Mark O. Riedl
• Abstract summary: We introduce Human-centered Explainable AI (HCXAI) as an approach that puts the human at the center of technology design. It develops a holistic understanding of "who" the human is by considering the interplay of values, interpersonal dynamics, and the socially situated nature of AI systems.
• Score: 18.14698948294366
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Explanations--a form of post-hoc interpretability--play an instrumental role in making systems accessible as AI continues to proliferate complex and sensitive sociotechnical systems. In this paper, we introduce Human-centered Explainable AI (HCXAI) as an approach that puts the human at the center of technology design. It develops a holistic understanding of "who" the human is by considering the interplay of values, interpersonal dynamics, and the socially situated nature of AI systems. In particular, we advocate for a reflective sociotechnical approach. We illustrate HCXAI through a case study of an explanation system for non-technical end-users that shows how technical advancements and the understanding of human factors co-evolve. Building on the case study, we lay out open research questions pertaining to further refining our understanding of "who" the human is and extending beyond 1-to-1 human-computer interactions. Finally, we propose that a reflective HCXAI paradigm-mediated through the perspective of Critical Technical Practice and supplemented with strategies from HCI, such as value-sensitive design and participatory design--not only helps us understand our intellectual blind spots, but it can also open up new design and research spaces.

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