Enabling Human-Centered AI: A Methodological Perspective
This work addresses the challenge of adopting HCAI methodologies for practitioners, but it appears incremental as it builds on previous work.
The paper tackles the lack of practical guidance for implementing human-centered AI (HCAI) by proposing a comprehensive framework with integrated components and a 'three-layer' approach, aiming to overcome weaknesses in current frameworks and enable HCAI in practice.
Human-centered AI (HCAI) is a design philosophy that advocates prioritizing humans in designing, developing, and deploying intelligent systems, aiming to maximize the benefits of AI to humans and avoid potential adverse impacts. While HCAI continues to influence, the lack of guidance on methodology in practice makes its adoption challenging. This paper proposes a comprehensive HCAI framework based on our previous work with integrated components, including design goals, design principles, implementation approaches, interdisciplinary teams, HCAI methods, and HCAI processes. This paper also presents a "three-layer" approach to facilitate the implementation of the framework. We believe this systematic and executable framework can overcome the weaknesses in current HCAI frameworks and the challenges currently faced in practice, putting it into action to enable HCAI further.