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An HCAI Methodological Framework: Putting It Into Action to Enable Human-Centered AI
This paper also presents a "three-layer" approach to facilitate the implementation of the framework.
Enabling Human-Centered AI: A Methodological Perspective
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.
Agent Teaming Situation Awareness (ATSA): A Situation Awareness Framework for Human-AI Teaming
To this end, we provide a review of leading SA theoretical models and a new framework for SA in the HAT context based on the key features and processes of HAT.
Applying HCAI in developing effective human-AI teaming: A perspective from human-AI joint cognitive systems
Insights: AI has led to the emergence of a new form of human-machine relationship: human-AI teaming (HAT), a paradigmatic shift in human-AI systems; We must follow a human-centered AI (HCAI) approach when applying HAT as a new design paradigm; We propose a conceptual framework of human-AI joint cognitive systems (HAIJCS) to represent and implement HAT for developing effective human-AI teaming
Transitioning to human interaction with AI systems: New challenges and opportunities for HCI professionals to enable human-centered AI
We propose alternative methods that can help overcome these limitations and effectively help HCI professionals apply the HCAI approach to the development of AI systems.
