An HCAI Methodological Framework: Putting It Into Action to Enable
Human-Centered AI
- URL: http://arxiv.org/abs/2311.16027v3
- Date: Thu, 30 Nov 2023 23:30:38 GMT
- Title: An HCAI Methodological Framework: Putting It Into Action to Enable
Human-Centered AI
- Authors: Wei Xu, Zaifeng Gao, Marvin Dainoff
- Abstract summary: Human-centered AI (HCAI) advocates prioritizing humans in designing, developing, and deploying intelligent systems.
The lack of guidance on methodology in HCAI's implementation makes its adoption challenging.
This paper proposes a comprehensive and interdisciplinary HCAI methodological framework integrated with seven components.
- Score: 9.096854091344264
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Human-centered AI (HCAI), as a design philosophy, advocates prioritizing
humans in designing, developing, and deploying intelligent systems, aiming to
maximize the benefits of AI technology to humans and avoid its potential
adverse effects. While HCAI has gained momentum, the lack of guidance on
methodology in its implementation makes its adoption challenging. After
assessing the needs for a methodological framework for HCAI, this paper first
proposes a comprehensive and interdisciplinary HCAI methodological framework
integrated with seven components, including design goals, design principles,
implementation approaches, design paradigms, interdisciplinary teams, methods,
and processes. THe implications of the framework are also discussed. This paper
also presents a "three-layer" approach to facilitate the implementation of the
framework. We believe the proposed framework is systematic and executable,
which can overcome the weaknesses in current frameworks and the challenges
currently faced in implementing HCAI. Thus, the framework can help put it into
action to develop, transfer, and implement HCAI in practice, eventually
enabling the design, development, and deployment of HCAI-based intelligent
systems.
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