Abstract
The social implementation of knowledge and technologies that are effective in epidemiological and observational studies is essential for solving social issues. In particular, there have been few attempts to implement clinical practices and information communication technologies that utilize data in the field. We describe the four stages of social implementation: 1) redefining social issues as solvable problems, 2) finding technological solutions to solvable problems, 3) social implementation contributing to the solutions, and 4) horizontal deployment of effective methods for solving social issues. Introducing a use case of artificial intelligence (AI) social implementation in child-abuse response conducted by our team, we discuss pitfalls and tips as a frame of reference to demonstrate data utilization as social infrastructure for solving social issues and to consider practical solutions in a logical manner.
Highlights
Ac ce pt Numbers of Figures: 5 ed Running title: AI Implementation Science: Pitfalls and Tips si o n
We describe four different stages of an essential scheme for AI social implementation to resolve social issues
Classification prediction is often performed using an evaluation index based on the receiver operator characteristic (ROC) curve and precision recall (PR) curve
Summary
Ac ce pt Numbers of Figures: 5 ed Running title: AI Implementation Science: Pitfalls and Tips si o n. There have been few attempts to implement clinical practices and information communication technologies that utilize data in the field. Introducing a use-case of artificial intelligence (AI) social implementation in a child abuse response conducted by our team, we discuss pitfalls and tips as a frame of reference to make data utilization as social infrastructure for solving social issues and to consider practical solutions in a logical manner. The latest technologies such as AI are beginning to be applied to social issues Today, people, in their daily lives, encounter numerous social issues such as poverty, lack of education, abuse, disability, inequality, and crime. Environmental, social, and corporate governance (ESG) investment frameworks for investors, to develop and accelerate projects that solve important social issues, are beginning to be utilized worldwide. Ac pt Communications Technology and Internet of Things (IoT) technologies in our daily lives, and the sophistication of computational algorithms such as machine learning
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