Towards Multifaceted Human-Centered AI
Sajjadur Rahman, Hannah Kim, Dan Zhang, Estevam Hruschka, Eser, Kandogan
TL;DR
This paper advocates for a comprehensive approach to designing human-centered AI systems that support complex workflows involving multiple stakeholders and roles, emphasizing holistic support mechanisms.
Contribution
It introduces the concept of multifaceted human-centered AI workflows and calls for a holistic design perspective for interaction and support systems.
Findings
Highlights the importance of stakeholder roles in AI workflows
Emphasizes holistic design for interaction paradigms
Calls for integrated support mechanisms
Abstract
Human-centered AI workflows involve stakeholders with multiple roles interacting with each other and automated agents to accomplish diverse tasks. In this paper, we call for a holistic view when designing support mechanisms, such as interaction paradigms, interfaces, and systems, for these multifaceted workflows.
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Taxonomy
TopicsBusiness Process Modeling and Analysis · Scientific Computing and Data Management · Big Data and Business Intelligence